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		<updated>2026-04-04T20:38:50Z</updated>
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		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=MediaWiki:Sidebar&amp;diff=112"/>
				<updated>2018-10-01T16:05:29Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;* navigation&lt;br /&gt;
** mainpage | OMICRON&lt;br /&gt;
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		<author><name>Omicronadmin</name></author>	</entry>

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		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=MediaWiki:Sidebar&amp;diff=111</id>
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		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=MediaWiki:Sidebar&amp;diff=111"/>
				<updated>2018-10-01T16:05:16Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;* navigation&lt;br /&gt;
** mainpage | OMICRON&lt;br /&gt;
** objectives | Objectives&lt;br /&gt;
** documentation | Documentation&lt;br /&gt;
** experiments | Experiments&lt;br /&gt;
** Articles | Publications&lt;br /&gt;
** researchers | Researchers&lt;br /&gt;
** acronyms | Acronyms&lt;br /&gt;
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* TOOLBOX&lt;br /&gt;
* LANGUAGES&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=96</id>
		<title>Experiments</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=96"/>
				<updated>2016-11-08T11:13:09Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* SDR Experiments */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Experiments =&lt;br /&gt;
For the aim of this project, mainly three different types of experiments have been realized:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using code in Matlab for publications and theoretical demonstrations mainly.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using the SDR platform for trying the algorithms with real components.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications deployed in real networks without using the SDR platform.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== SDR Experiments ==&lt;br /&gt;
For this experiments, the USRP B210 and GRC 3.7.10 has been used, as explained in detail in the [http://tsc.urjc.es/wikiOMICRON/index.php/Documentation#SDR documentation section]. The code of all these experiments (the .grc files) can be found in [https://github.com/reysam93/OMICRON-GNURadio this github]. For running this examples, it is necessary to install the modules first. This can be done following the instructions explained on the repository. &lt;br /&gt;
&lt;br /&gt;
In addition to try the developed algorithms with real components, the SDR experiments are also intended for looking the benefits of modifying low level protocols using GNU Radio software.&lt;br /&gt;
&lt;br /&gt;
=== Tutorials ===&lt;br /&gt;
The [http://gnuradio.org/redmine/projects/gnuradio/wiki/Guided_Tutorials GNU tutorials] have been followed for realizing these examples. This tutorial includes the simulation of a QAM transmission, where the main problems of the channel had been solve, such as noise, frequency and time synchronization problems, and multi-path components. The code of this example can be found [https://github.com/reysam93/OMICRON-GNURadio/blob/master/Tutorials/Tutorial7/mpsk_stage6.grc here].&lt;br /&gt;
&lt;br /&gt;
=== OFDM ===&lt;br /&gt;
Some experiments using OFDM have been realized. File and audio transmisors and receptors have been developed without following any standard. Both experiments have been realized in simulations and with real hardware, using two USRP B210.&lt;br /&gt;
&lt;br /&gt;
=== WiFi ===&lt;br /&gt;
These experiments follow the ieee 802.11 standard and are based on the GitHub repository [https://github.com/bastibl/gr-ieee802-11 gr-ieee802-11], as explained in the documentation section.&lt;br /&gt;
Currently, the modules have been modified so time adaptive is used. When a transceiver gets a message, it will use the pilot for estimating the channel  and the SNR, and it will uses this information for selecting the modulation of the messages it has to transmit, deciding the modulation depending on the SNR.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=95</id>
		<title>Experiments</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=95"/>
				<updated>2016-11-08T11:06:49Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* Experiments */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Experiments =&lt;br /&gt;
For the aim of this project, mainly three different types of experiments have been realized:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using code in Matlab for publications and theoretical demonstrations mainly.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using the SDR platform for trying the algorithms with real components.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications deployed in real networks without using the SDR platform.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== SDR Experiments ==&lt;br /&gt;
For this experiments, the USRP B210 and GRC 3.7.10 has been used, as explained in detail in the [http://tsc.urjc.es/wikiOMICRON/index.php/Documentation#SDR documentation section]. The code of all these experiments (the .grc files) can be found in [https://github.com/reysam93/GNURadio this github]. For running this examples, it is necessary to install the modules first. This can be done following the instructions explained on the repository. &lt;br /&gt;
&lt;br /&gt;
In addition to try the developed algorithms with real components, the SDR experiments are also intended for looking the benefits of modifying low level protocols using GNU Radio software.&lt;br /&gt;
&lt;br /&gt;
=== Tutorials ===&lt;br /&gt;
The [http://gnuradio.org/redmine/projects/gnuradio/wiki/Guided_Tutorials GNU tutorials] have been followed for realizing these examples. This tutorial includes the simulation of a QAM transmission, where the main problems of the channel had been solve, such as noise, frequency and time synchronization problems, and multi-path components. The code of this example can be found [https://github.com/reysam93/GNURadio/blob/master/Tutorial7/mpsk_stage6.grc here].&lt;br /&gt;
&lt;br /&gt;
=== OFDM ===&lt;br /&gt;
Some experiments using OFDM have been realized. File and audio transmisors and receptors have been developed without following any standard. Both experiments have been realized in simulations and with real hardware, using two USRP B210.&lt;br /&gt;
&lt;br /&gt;
=== WiFi ===&lt;br /&gt;
These experiments follow the ieee 802.11 standard and are based on the GitHub repository [https://github.com/bastibl/gr-ieee802-11 gr-ieee802-11], as explained in the documentation section.&lt;br /&gt;
Currently, the modules have been modified so time adaptive is used. When a transceiver gets a message, it will use the pilot for estimating the channel  and the SNR, and it will uses this information for selecting the modulation of the messages it has to transmit, deciding the modulation depending on the SNR.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=94</id>
		<title>Experiments</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=94"/>
				<updated>2016-11-08T11:06:17Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Experiments =&lt;br /&gt;
For the aim of this project, mainly three different types of experiments have been realized:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using code in Matlab for publications and theoretical demonstrations mainly.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using the SDR platform for trying the algorithms with real components.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications deployed in real networks without using the SDR platform.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== SDR Experiments ==&lt;br /&gt;
For this experiments, the USRP B210 and GRC 3.7.10 has been used, as explained in detail in the [http://tsc.urjc.es/wikiOMICRON/index.php/Documentation#SDR documentation section]. The code of all these experiments (the .grc files) can be found in [https://github.com/reysam93/GNURadio this github]. For running this examples, it is necessary to install the modules first. This can be done following the instructions explained on the repository. &lt;br /&gt;
&lt;br /&gt;
In addition to try the developed algorithms with real components, the SDR experiments are also intended for looking the benefits of modifying low level protocols using GNU Radio software.&lt;br /&gt;
&lt;br /&gt;
=== Tutorials ===&lt;br /&gt;
The [http://gnuradio.org/redmine/projects/gnuradio/wiki/Guided_Tutorials GNU tutorials] have been followed for realizing these examples. This tutorial includes the simulation of a QAM transmission, where the main problems of the channel had been solve, such as noise, frequency and time synchronization problems, and multi-path components. The code of this example can be found [https://github.com/reysam93/GNURadio/blob/master/Tutorial7/mpsk_stage6.grc here].&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
=== OFDM ===&lt;br /&gt;
Some experiments using OFDM have been realized. File and audio transmisors and receptors have been developed without following any standard. Both experiments have been realized in simulations and with real hardware, using two USRP B210.&lt;br /&gt;
&lt;br /&gt;
=== WiFi ===&lt;br /&gt;
These experiments follow the ieee 802.11 standard and are based on the GitHub repository [https://github.com/bastibl/gr-ieee802-11 gr-ieee802-11], as explained in the documentation section.&lt;br /&gt;
Currently, the modules have been modified so time adaptive is used. When a transceiver gets a message, it will use the pilot for estimating the channel  and the SNR, and it will uses this information for selecting the modulation of the messages it has to transmit, deciding the modulation depending on the SNR.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=93</id>
		<title>Documentation</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=93"/>
				<updated>2016-11-08T10:35:01Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= SDR =&lt;br /&gt;
For the SDR hardware, several different plates have been considered. Finally, we have decided that the most appropriate plate for this project is the USRP B210, due to the trade-off between price and flexibility.&lt;br /&gt;
&lt;br /&gt;
== [https://www.ettus.com/product/details/UB210-KIT USRP B210] ==&lt;br /&gt;
The USRP (Universal Software Radio Peripheral) is a flexible and affordable transceiver that turns a standard PC into a powerful wireless prototyping system.&lt;br /&gt;
&lt;br /&gt;
=== Overview ===&lt;br /&gt;
The USRP B210 comes straight from the R&amp;amp;D labs of Ettus Research providing early access to cutting edge experimental hardware covering 70MHz – 6GHz with integrated RFIC technology, a Spartan6 FPGA, and USB 3.0 connectivity. This new platform enables experimentation with wide range of applications including:  FM and TV broadcast, cellular, WiFi, ISM, and more. The USRP B210 features two receive and two transmit channels, incorporates an open FPGA and includes an external power supply.  It uses new Analog Devices RFIC to deliver a cost-effective experimentation platform and a high bandwidth USB 3.0 bus with up to 56 MHz of instantaneous bandwidth in 1x1 operation and up to 32MHz of instantaneous bandwidth in 2x2 operation  on select USB 3.0 chipsets (backwards compatibly to USB 2.0 for 6MHz of instantaneous bandwidth).  The two transmit pairs and receive pairs each share a local oscillator for fully coherent MIMO applications.&lt;br /&gt;
With this new kit, users can develop their GNU Radio applications and seamlessly port their designs to higher performance USRP systems such as USRP N210 with industry proven 1 Gigabit Ethernet connectivity or the USRP E100 embedded form factor, both including discrete RF boards with higher sensitivity, dynamic range, and IP3 performance using the common USRP Hardware Driver (UHD) framework.&lt;br /&gt;
&lt;br /&gt;
=== Features ===&lt;br /&gt;
&lt;br /&gt;
* Radio functionality&lt;br /&gt;
** 2 Transmit, 2 Receive&lt;br /&gt;
** Full duplex or half duplex&lt;br /&gt;
** Frequency range: 70 MHz to 6 GHz&lt;br /&gt;
** Baseband: 12-bit ADC/DAC&lt;br /&gt;
** Up to to 61.44 MS/s allows up to 56 MHz of real time bandwidth per channel&lt;br /&gt;
** Up to 32 MHz of real time bandwidth in 2x2 MIMO mode&lt;br /&gt;
&lt;br /&gt;
* USB 3.0 interfaceFPGA – Spartan 6 XC6SLX75&lt;br /&gt;
** Up to 3.2Gb/s sustainable transfer rates&lt;br /&gt;
** Supports USB 2.0 controllers&lt;br /&gt;
&lt;br /&gt;
* USRP Hardware Driver™ (UHD) compatible&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
== [http://gnuradio.org/ GNU Radio] ==&lt;br /&gt;
GNU Radio is a free software development toolkit that provides signal processing blocks to implement software-defined radios and signal processing systems. It can be used with external RF hardware to create software-defined radios, or without hardware in a simulation-like environment. It is widely used in hobbyist, academic, and commercial environments to support both wireless communications research and real-world radio systems.&lt;br /&gt;
&lt;br /&gt;
=== Overview ===&lt;br /&gt;
The GNU Radio software provides the framework and tools to build and run software radio or just general signal processing applications. The GNU Radio applications themselves are generally known as 'flowgraphs', which are a series of signal processing blocks connected together, thus describing a data flow. As with all software-defined radio systems, reconfigurability is a key feature. Instead of using different radios designed for specific but disparate purposes, a single, general-purpose, radio can be used as the radio front-end, and the signal-processing software (here, GNU Radio), handles the processing specific to the radio application.&lt;br /&gt;
&lt;br /&gt;
=== GNU Radio Companion ===&lt;br /&gt;
GNU Radio Companion (GRC) is a graphical tool for creating signal flow graphs and generating flow-graph source code, making easier working with GNU Radio.&lt;br /&gt;
&lt;br /&gt;
For this project, GNU Radio Companion 3.7.10 has been used.&lt;br /&gt;
&lt;br /&gt;
These flowgraphs can be written in either C++ or the Python programming language. The GNU Radio infrastructure is written entirely in C++, and many of the user tools are written in Python.&lt;br /&gt;
&lt;br /&gt;
=== Additional Modules ===&lt;br /&gt;
For the experiments following the ieee 802.11 standard, the GitHub repository [https://github.com/bastibl/gr-ieee802-11 gr-ieee802-11] have been used as a base, modifying it. This module allows sending and receiving messages following this standard, and manually select the modulation of the OFDM frame at run-time.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=92</id>
		<title>Experiments</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=92"/>
				<updated>2016-09-21T11:24:09Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Experiments =&lt;br /&gt;
For the aim of this project, mainly three different types of experiments have been realized:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using code in Matlab for publications and theoretical demonstrations mainly.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using the SDR platform for trying the algorithms with real components.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications deployed in real networks without using the SDR platform.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== SDR Experiments ==&lt;br /&gt;
For this experiments, the USRP B210 and GRC 3.7.10 has been used, as explained in detail in the [http://tsc.urjc.es/wikiOMICRON/index.php/Documentation#SDR documentation section]. The code of all this experiment (the .grc files) can be found in [https://github.com/reysam93/GNURadio this github].&lt;br /&gt;
&lt;br /&gt;
In addition to try the developed algorithms with real components, the SDR experiments are also intended for looking the benefits of modifying low level protocols using GNU Radio software.&lt;br /&gt;
&lt;br /&gt;
For having a first contact with GNU Radio software, the [http://gnuradio.org/redmine/projects/gnuradio/wiki/Guided_Tutorials GNU tutorials] have been followed. This tutorial includes the simulation of a QAM transmission, where the main problems of the channel had been solve, such as noise, frequency and time synchronization problems, and multipath components. The code of this example can be found [https://github.com/reysam93/GNURadio/blob/master/Tutorial7/mpsk_stage6.grc here].&lt;br /&gt;
&lt;br /&gt;
Note: for executing this tutorial examples it is necessary to install the blocks created for the tutorial. This instructions are available in the github readme [https://github.com/reysam93/GNURadio/blob/master/README.md file].&lt;br /&gt;
&lt;br /&gt;
=== OFDM ===&lt;br /&gt;
Most of the experiments realized until now are based on OFDM transmission.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=91</id>
		<title>Experiments</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=91"/>
				<updated>2016-08-16T16:02:37Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* SDR Experiments */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Experiments =&lt;br /&gt;
For the aim of this project, mainly three different types of experiments have been realized:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using code in Matlab for publications and theoretical demonstrations mainly.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using the SDR platform for trying the algorithms with real components.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications deployed in real networks without using the SDR platform.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== SDR Experiments ==&lt;br /&gt;
For this experiments, the USRP B210 and GRC 3.7.10 has been used, as explained in detail in the [http://tsc.urjc.es/wikiOMICRON/index.php/Documentation#SDR documentation section]. The code of all this experiment (the .grc files) can be found in [https://github.com/reysam93/GNURadio this github].&lt;br /&gt;
&lt;br /&gt;
First, the [http://gnuradio.org/redmine/projects/gnuradio/wiki/Guided_Tutorials GNU tutorials] have been done, for learning how to use this tools. Following this tutorials a simulated transmission of data using a QPSK modulation has been realized. Also, a more complex simulation with the problems of real channels has also been performed, working with ISI and multi-path channels.&lt;br /&gt;
&lt;br /&gt;
Also, an OFDM transmitter and receiver have been created. This has been done step by step, not using the predefined blocks that GRC offers for this, with the main idea of using an adaptive transmission.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=90</id>
		<title>Experiments</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=90"/>
				<updated>2016-08-16T11:28:10Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Experiments =&lt;br /&gt;
For the aim of this project, mainly three different types of experiments have been realized:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using code in Matlab for publications and theoretical demonstrations mainly.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using the SDR platform for trying the algorithms with real components.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications deployed in real networks without using the SDR platform.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== SDR Experiments ==&lt;br /&gt;
For this experiments, the USRP B210 and GRC 3.7.10 has been used, as explained in detail in the [http://tsc.urjc.es/wikiOMICRON/index.php/Documentation#SDR documentation section].&lt;br /&gt;
&lt;br /&gt;
First, the [http://gnuradio.org/redmine/projects/gnuradio/wiki/Guided_Tutorials GNU tutorials] have been done, for learning how to use this tools. Following this tutorials a simulated transmission of data using a QPSK modulation has been realized. Also, a more complex simulation with the problems of real channels has also been performed, working with ISI and multi-path channels.&lt;br /&gt;
&lt;br /&gt;
Also, an OFDM transmitter and receiver have been created. This has been done step by step, not using the predefined blocks that GRC offers for this, with the main idea of using an adaptive transmission.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=89</id>
		<title>Experiments</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=89"/>
				<updated>2016-08-16T11:18:51Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* SDR Experiments */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Experiments =&lt;br /&gt;
For the aim of this project, mainly three different types of experiments have been realized:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using code in Matlab for publications and theoretical demonstrations mainly.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using the SDR platform for trying the algorithms with real components.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications deployed in real networks without using the SDR platform.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== SDR Experiments ==&lt;br /&gt;
For this experiments, the USRP B210 and GRC 3.7.10 has been used, as explained in detail in the [http://tsc.urjc.es/wikiOMICRON/index.php/Documentation#SDR documentation section].&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=88</id>
		<title>Documentation</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=88"/>
				<updated>2016-08-16T11:16:10Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* SDR */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= SDR =&lt;br /&gt;
For the SDR hardware, several different plates have been considered. Finally, we have decided that the most appropriate plate for this project is the USRP B210, due to the trade-off between price and flexibility.&lt;br /&gt;
&lt;br /&gt;
== [https://www.ettus.com/product/details/UB210-KIT USRP B210] ==&lt;br /&gt;
The USRP (Universal Software Radio Peripheral) is a flexible and affordable transceiver that turns a standard PC into a powerful wireless prototyping system.&lt;br /&gt;
&lt;br /&gt;
=== Overview ===&lt;br /&gt;
The USRP B210 comes straight from the R&amp;amp;D labs of Ettus Research providing early access to cutting edge experimental hardware covering 70MHz – 6GHz with integrated RFIC technology, a Spartan6 FPGA, and USB 3.0 connectivity. This new platform enables experimentation with wide range of applications including:  FM and TV broadcast, cellular, WiFi, ISM, and more. The USRP B210 features two receive and two transmit channels, incorporates an open FPGA and includes an external power supply.  It uses new Analog Devices RFIC to deliver a cost-effective experimentation platform and a high bandwidth USB 3.0 bus with up to 56 MHz of instantaneous bandwidth in 1x1 operation and up to 32MHz of instantaneous bandwidth in 2x2 operation  on select USB 3.0 chipsets (backwards compatibly to USB 2.0 for 6MHz of instantaneous bandwidth).  The two transmit pairs and receive pairs each share a local oscillator for fully coherent MIMO applications.&lt;br /&gt;
With this new kit, users can develop their GNU Radio applications and seamlessly port their designs to higher performance USRP systems such as USRP N210 with industry proven 1 Gigabit Ethernet connectivity or the USRP E100 embedded form factor, both including discrete RF boards with higher sensitivity, dynamic range, and IP3 performance using the common USRP Hardware Driver (UHD) framework.&lt;br /&gt;
&lt;br /&gt;
=== Features ===&lt;br /&gt;
&lt;br /&gt;
* Radio functionality&lt;br /&gt;
** 2 Transmit, 2 Receive&lt;br /&gt;
** Full duplex or half duplex&lt;br /&gt;
** Frequency range: 70 MHz to 6 GHz&lt;br /&gt;
** Baseband: 12-bit ADC/DAC&lt;br /&gt;
** Up to to 61.44 MS/s allows up to 56 MHz of real time bandwidth per channel&lt;br /&gt;
** Up to 32 MHz of real time bandwidth in 2x2 MIMO mode&lt;br /&gt;
&lt;br /&gt;
* USB 3.0 interfaceFPGA – Spartan 6 XC6SLX75&lt;br /&gt;
** Up to 3.2Gb/s sustainable transfer rates&lt;br /&gt;
** Supports USB 2.0 controllers&lt;br /&gt;
&lt;br /&gt;
* USRP Hardware Driver™ (UHD) compatible&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
== [http://gnuradio.org/ GNU Radio] ==&lt;br /&gt;
GNU Radio is a free software development toolkit that provides signal processing blocks to implement software-defined radios and signal processing systems. It can be used with external RF hardware to create software-defined radios, or without hardware in a simulation-like environment. It is widely used in hobbyist, academic, and commercial environments to support both wireless communications research and real-world radio systems.&lt;br /&gt;
&lt;br /&gt;
=== Overview ===&lt;br /&gt;
The GNU Radio software provides the framework and tools to build and run software radio or just general signal processing applications. The GNU Radio applications themselves are generally known as 'flowgraphs', which are a series of signal processing blocks connected together, thus describing a data flow. As with all software-defined radio systems, reconfigurability is a key feature. Instead of using different radios designed for specific but disparate purposes, a single, general-purpose, radio can be used as the radio front-end, and the signal-processing software (here, GNU Radio), handles the processing specific to the radio application.&lt;br /&gt;
&lt;br /&gt;
== GNU Radio Companion ==&lt;br /&gt;
GNU Radio Companion (GRC) is a graphical tool for creating signal flow graphs and generating flow-graph source code, making easier working with GNU Radio.&lt;br /&gt;
&lt;br /&gt;
For this project, GNU Radio Companion 3.7.10 has been used.&lt;br /&gt;
&lt;br /&gt;
These flowgraphs can be written in either C++ or the Python programming language. The GNU Radio infrastructure is written entirely in C++, and many of the user tools are written in Python.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=87</id>
		<title>Experiments</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=87"/>
				<updated>2016-08-16T10:35:26Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Experiments =&lt;br /&gt;
For the aim of this project, mainly three different types of experiments have been realized:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using code in Matlab for publications and theoretical demonstrations mainly.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using the SDR platform for trying the algorithms with real components.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications deployed in real networks without using the SDR platform.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
== SDR Experiments ==&lt;br /&gt;
This experiments use the GUI of [http://gnuradio.org/ GNU Radio], GNURadio Companion, version 3.7.10.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=86</id>
		<title>Documentation</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=86"/>
				<updated>2016-08-16T10:30:16Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= SDR =&lt;br /&gt;
For the SDR hardware, several different plates have been considered. Finally, we have decided that the most appropriate plate for this project is the USRP B210, due to the trade-off between price and flexibility.&lt;br /&gt;
&lt;br /&gt;
== [https://www.ettus.com/product/details/UB210-KIT USRP B210] ==&lt;br /&gt;
The USRP (Universal Software Radio Peripheral) is a flexible and affordable transceiver that turns a standard PC into a powerful wireless prototyping system.&lt;br /&gt;
&lt;br /&gt;
=== Overview ===&lt;br /&gt;
The USRP B210 comes straight from the R&amp;amp;D labs of Ettus Research providing early access to cutting edge experimental hardware covering 70MHz – 6GHz with integrated RFIC technology, a Spartan6 FPGA, and USB 3.0 connectivity. This new platform enables experimentation with wide range of applications including:  FM and TV broadcast, cellular, WiFi, ISM, and more. The USRP B210 features two receive and two transmit channels, incorporates an open FPGA and includes an external power supply.  It uses new Analog Devices RFIC to deliver a cost-effective experimentation platform and a high bandwidth USB 3.0 bus with up to 56 MHz of instantaneous bandwidth in 1x1 operation and up to 32MHz of instantaneous bandwidth in 2x2 operation  on select USB 3.0 chipsets (backwards compatibly to USB 2.0 for 6MHz of instantaneous bandwidth).  The two transmit pairs and receive pairs each share a local oscillator for fully coherent MIMO applications.&lt;br /&gt;
With this new kit, users can develop their GNU Radio applications and seamlessly port their designs to higher performance USRP systems such as USRP N210 with industry proven 1 Gigabit Ethernet connectivity or the USRP E100 embedded form factor, both including discrete RF boards with higher sensitivity, dynamic range, and IP3 performance using the common USRP Hardware Driver (UHD) framework.&lt;br /&gt;
&lt;br /&gt;
=== Features ===&lt;br /&gt;
&lt;br /&gt;
* Radio functionality&lt;br /&gt;
** 2 Transmit, 2 Receive&lt;br /&gt;
** Full duplex or half duplex&lt;br /&gt;
** Frequency range: 70 MHz to 6 GHz&lt;br /&gt;
** Baseband: 12-bit ADC/DAC&lt;br /&gt;
** Up to to 61.44 MS/s allows up to 56 MHz of real time bandwidth per channel&lt;br /&gt;
** Up to 32 MHz of real time bandwidth in 2x2 MIMO mode&lt;br /&gt;
&lt;br /&gt;
* USB 3.0 interfaceFPGA – Spartan 6 XC6SLX75&lt;br /&gt;
** Up to 3.2Gb/s sustainable transfer rates&lt;br /&gt;
** Supports USB 2.0 controllers&lt;br /&gt;
&lt;br /&gt;
* USRP Hardware Driver™ (UHD) compatible&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
== [http://gnuradio.org/ GNU Radio] ==&lt;br /&gt;
GNU Radio is a free software development toolkit that provides signal processing blocks to implement software-defined radios and signal processing systems. It can be used with external RF hardware to create software-defined radios, or without hardware in a simulation-like environment. It is widely used in hobbyist, academic, and commercial environments to support both wireless communications research and real-world radio systems.&lt;br /&gt;
&lt;br /&gt;
=== Overview ===&lt;br /&gt;
The GNU Radio software provides the framework and tools to build and run software radio or just general signal processing applications. The GNU Radio applications themselves are generally known as 'flowgraphs', which are a series of signal processing blocks connected together, thus describing a data flow. As with all software-defined radio systems, reconfigurability is a key feature. Instead of using different radios designed for specific but disparate purposes, a single, general-purpose, radio can be used as the radio front-end, and the signal-processing software (here, GNU Radio), handles the processing specific to the radio application.&lt;br /&gt;
&lt;br /&gt;
These flowgraphs can be written in either C++ or the Python programming language. The GNU Radio infrastructure is written entirely in C++, and many of the user tools are written in Python.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=MediaWiki:Sidebar&amp;diff=85</id>
		<title>MediaWiki:Sidebar</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=MediaWiki:Sidebar&amp;diff=85"/>
				<updated>2016-08-16T10:29:12Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;* navigation&lt;br /&gt;
** mainpage | OMICRON&lt;br /&gt;
** objectives | Objectives&lt;br /&gt;
** documentation | Documentation&lt;br /&gt;
** experiments | Experiments&lt;br /&gt;
** Articles | Publications&lt;br /&gt;
** researchers | Researchers&lt;br /&gt;
** acronyms | Acronyms&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
* SEARCH&lt;br /&gt;
* TOOLBOX&lt;br /&gt;
* LANGUAGES&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=82</id>
		<title>Objectives</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=82"/>
				<updated>2016-06-28T10:33:38Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The main goal of this project is the design of Resource Allocation (RA) schemes, sensing and monitoring, of robust, smart and partially distributed character. These schemes will optimize the benefits of the next generation MCNs. The flexibility, complexity and autonomy of the devices of the MCN has caused that the purely centralized management and optimization is not viable. This is not only because signalling costs and computational complexity are substantial, but also because many of the new architectures considered for the next generation networks are limiting the collaboration between the devices of the network. The initial hypothesis is that if the schemes that govern the network behaviour are designed using advanced tools for optimization and inference, the benefits obtained will be close to the benefits of a centralized network. This schemes will have less signalling and coordination cost and they will be compatible with the architectures and topologies considered for the next generation MCN.  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For organizing the project, five fundamentals objectives have been identified. Additionally, this objectives have also been divided in specific objectives allowing a better and more precise organization:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;img id='objectivesSchema' width=&amp;quot;600&amp;quot; src='http://tsc.urjc.es/wikiOMICRON/images/objectives.png' style='float: right'&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust RA in smart MCN.&lt;br /&gt;
* RA in smart MCN with imperfect NSI.&lt;br /&gt;
* Robust optimization in MCNs.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust sensing and monitoring for smart MCN.&lt;br /&gt;
* Sensing and monitoring&lt;br /&gt;
* Distributed inference in smart MCN.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Global designs for optimization and monitoring in smart MCN.&lt;br /&gt;
* Optimum design for RA and joint monitoring in MCN.&lt;br /&gt;
* Distributed, stochastic and robust implementations. &lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust optimization and monitoring in other smart networks.&lt;br /&gt;
*Robust optimization and monitoring in Smart Grids (SG).&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Implementation in real MCN.&lt;br /&gt;
* Deployment of a SDR platform. &lt;br /&gt;
* Algorithms for QoS in WiFi networks.&lt;br /&gt;
* Algorithms for QoS in LTE-A networks.&lt;br /&gt;
* Implementation of algorithms in SDR platform.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=81</id>
		<title>Articles</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=81"/>
				<updated>2016-06-27T09:42:21Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* Published Articles */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Published Articles == &lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Journal&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Cognitive+Radios+with+Ergodic+Capacity+Guarantees+for+Primary+Users&amp;amp;btnG=&amp;amp;lr= Cognitive Radios with Ergodic Capacity Guarantees for Primary Users]  &lt;br /&gt;
| A. G. Marques, C. Figuera, E. Morgado, and J. Ramos&lt;br /&gt;
| 2012, June &lt;br /&gt;
| IEEE Trans. on Wireless Commun.&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals+through+Percolation+from+Seeding+Nodes&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals through Percolation from Seeding Nodes] &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, July &lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals+with+Successive+Local+Aggregations&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals with Successive Local Aggregations]&lt;br /&gt;
| A. G. Marques, S. Segarra, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=A+dual+IEEE+802.11+and+IEEE+802.15-4+network+architecture+for+energy-efficient+communications+with+low-demanding+applications&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A dual IEEE 802.11 and IEEE 802.15-4 network architecture for energy-efficient communications with low-demanding applications]&lt;br /&gt;
| I. Foche-Perez, J. Simo-Reigadas, I. Prieto-Egido, , E. Morgado, A. Martinez-Fernandez&lt;br /&gt;
| 2015, September&lt;br /&gt;
| Ad Hoc Networks&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Battery-Aware+Selective+Communications+in+Energy-Harvesting+Sensor+Networks%3A+A+Sequential+Decision+Approach&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Battery-Aware Selective Communications in Energy-Harvesting Sensor Networks: A Sequential Decision Approach]&lt;br /&gt;
| J. Fernandez-Bes, J. Cid-Sueiro, and A. G. Marques&lt;br /&gt;
| 2013, August&lt;br /&gt;
| IEEE J. Sel. Areas in Commun.&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Jointly+Optimal+Sensing+and+Resource+Allocation+for+Multiuser+Interweave+Cognitive+Radios&amp;amp;btnG=&amp;amp;lr= Jointly Optimal Sensing and Resource Allocation for Multiuser Interweave Cognitive Radios]&lt;br /&gt;
| L. M. Lopez-Ramos, A. G. Marques, and J. Ramos&lt;br /&gt;
| 2014, August&lt;br /&gt;
| IEEE Trans. on Wireless Commun&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Conferences ==&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Conference&lt;br /&gt;
! Material&lt;br /&gt;
|-&lt;br /&gt;
| Rethinking Sketching as Sampling: Linear Transforms of Graph Signals&lt;br /&gt;
| F. Gama, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA &lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Network+Topology+Identification+from+Imperfect+Spectral+Templates&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Network Topology Identification from Imperfect Spectral Templates]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| Space-Time Scheduling For Green Data Center Networks&lt;br /&gt;
| T. Chen, A. G. Marques, and G. B. Giannakis&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| SIGIBE: Solving Random Bilinear Equations via Gradient Descent with Spectral Initialization&lt;br /&gt;
| A. G. Marques, G. Mateos, and Y. Eldar&lt;br /&gt;
| 2016, September&lt;br /&gt;
| Proc. of European Signal Process. Conf., Budapest, Hungary&lt;br /&gt;
|-&lt;br /&gt;
| Stationary Graph Processes: Nonparametric Power Spectral Estimation &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2016, July&lt;br /&gt;
| Proc. of IEEE Sensor Array and Multichannel Signal Process. Wrksp., Rio de Janeiro, Brazil&lt;br /&gt;
|-&lt;br /&gt;
| Network Topology Identification from Spectral Templates&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, June&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Statistical Signal Process., Palma de Mallorca, Spain&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Blind+Identification+of+Graph+Filters+with+Multiple+Sparse+Inputs&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Blind Identification of Graph Filters with Multiple Sparse Inputs]&lt;br /&gt;
|  S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamgmar_icassp16_slides.pdf Slides]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Space-Shift+Sampling+of+Graph+Signals&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Space-Shift Sampling of Graph Signals]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamglar_icassp16_slides.pdf Slides]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Linear+Network+Operators+Using+Node-Variant+Graph+Filters+Linear+Network+Operators+Using+Node-Variant+Graph+Filters&amp;amp;btnG=&amp;amp;lr= Linear Network Operators Using Node-Variant Graph Filters Linear Network Operators Using Node-Variant Graph Filters]&lt;br /&gt;
| S. Segarra, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamar_icassp16_slides.pdf Poster]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Blind+Identification+of+Graph+Filters+with+Sparse+Inputs&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Blind Identification of Graph Filters with Sparse Inputs]&lt;br /&gt;
| S. Segarra, G. Mateos, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Aggregation+Sampling+of+Graph+Signals+in+the+Presence+of+Noise&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Aggregation Sampling of Graph Signals in the Presence of Noise]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Microgrid+Dispatch+and+Price+of+Reliability+Using+Stochastic+Approximation&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Microgrid Dispatch and Price of Reliability Using Stochastic Approximation]&lt;br /&gt;
| L. M. Lopez-Ramos, V. Kekatos, A. G. Marques, and G. B. Giannakis&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE of Global Conf. on Signal and Info. Process., Orlando, FL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals%3A+Percolation+from+a+Single+Seeding+Node&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals: Percolation from a Single Seeding Node]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE of Global Conf. on Signal and Info. Process., Orlando, FL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals%3A+Successive+Local+Aggregations+at+a+Single+Node&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals: Successive Local Aggregations at a Single Node]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, November&lt;br /&gt;
| Proc. of 49th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| Distributed Implementation of Network Linear Operators using Graph Filters&lt;br /&gt;
| S. Segarra, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2015, September&lt;br /&gt;
| Proc. of 53rd Allerton Conf. on Commun. Control and Computing, Univ. of Illinois at U-C, Monticello, IL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Interpolation+of+Graph+Signals+Using+Shift-Invariant+Graph+Filters&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Interpolation of Graph Signals Using Shift-Invariant Graph Filters]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, August&lt;br /&gt;
| Proc. of European Signal Process. Conf., Nice, France&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=%22Underlay+Multi-Hop+Cognitive+Networks+with+Orthogonal+Access&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Underlay Multi-Hop Cognitive Networks with Orthogonal Access]&lt;br /&gt;
| A. G. Marques, S. Molinero and G. B. Giannakis&lt;br /&gt;
| 2015, June&lt;br /&gt;
| Proc. of IEEE CORAL 2015 at IEEE Intl. Symp. World of Wireless, Mobile and Multimedia Networks, Boston, USA&lt;br /&gt;
|-&lt;br /&gt;
|[https://scholar.google.es/scholar?q=A+Decomposition+Method+for+Optimal+User+Assignment+in+Cellular+Networks+with+Orthogonal+Transmissions&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A Decomposition Method for Optimal User Assignment in Cellular Networks with Orthogonal Transmissions]&lt;br /&gt;
| A. G. Marques, L. Cadarso, E. Morgado and C. Figuera&lt;br /&gt;
| 2015, April&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Brisbane, Australia&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Project_OMICRON&amp;diff=80</id>
		<title>Project OMICRON</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Project_OMICRON&amp;diff=80"/>
				<updated>2016-06-27T09:15:25Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;To address the technological challenges posed by the digital society, contemporary communications systems and, in particular, Mobile Communications Networks (MCN) have became more flexible, involved and autonomous. This evolution has opened the door to more efficient transmission schemes and to better user’s experience. However, it has also rendered the design, management and operation of the network more difficult. Successful execution of those tasks requires a detailed modeling and analysis of the network and its terminals. It also calls for adopting up-to-date optimization tools. The scientific community has been aware of such needs and significant progress has been achieved, especially by incorporating optimization theory and distributed inference to the design of MCN. Research areas with major influence and contributions from these theories include cognitive radios, cross-layer design, sensor networks and heterogeneous networks. However, despite all those achievements, existing solutions still suffer from several weaknesses including: extremely simple network models, separate design of optimization and monitoring tasks, and suboptimal use of the Network State Information (NSI).&lt;br /&gt;
&lt;br /&gt;
This project aims to deal with such problems using a holistic approach. MCN are modelled as complex dynamic systems, where cognitive capabilities allow both nodes and controllers to make decisions about the network operation; and where optimization and monitoring are designed jointly (sharing objectives and considering the coupling between the two tasks) and robustly (considering the uncertainty and spatio-temporal variability of the NSI). The design of the schemes to operate the network will be accomplished by using contemporary tools in the fields of robust, stochastic and dynamic optimization, as well as distributed inference and network theory.&lt;br /&gt;
&lt;br /&gt;
&amp;lt;img width=&amp;quot;600&amp;quot; src='http://tsc.urjc.es/wikiOMICRON/images/imagenOmicron.png'&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Although the research will be primarily focused on the field of MCN, the results will be extended to other intelligent networks and, especially, to power networks and smart grids. Moreover, the theoretical findings will be complemented with the deployment of a ''software defined radio'' (SDR) platform. In addition to serve as a test-bed for the algorithms designed, the platform will be used to develop simplified schemes compatible with existing standards (4G and WiFi); hence, facilitating the technology transfer to the industry in the short term. Those additional objectives, together with the strong commitment to collaboration with foreign teams, will contribute not only to strengthen the scientific and socio-economic impact of the project, but also the group’s standing and interdisciplinary.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=79</id>
		<title>Experiments</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=79"/>
				<updated>2016-06-27T08:28:30Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;In this project there are mainly three different types of experiments:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using code in Matlab for publications and theoretical demonstrations mainly.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using the SDR platform for trying the algorithms with real components.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications deployed in real networks without using the SDR platform.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
This page will contain the description of the different experiments we have performed, including the code, providing that other people can repeat them.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Researchers&amp;diff=78</id>
		<title>Researchers</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Researchers&amp;diff=78"/>
				<updated>2016-06-23T12:20:30Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Current Researchers =&lt;br /&gt;
Most of our researchers are from the [http://www.urjc.es/ Universidad Rey Juan Carlos], but this project count with a high level of international participation. Professors from the University of Minnesota, the University of Pennsylvania, the University of Texas, the University of Rochester and the Delft University of Technology are also working to develop the OMICRON project.&lt;br /&gt;
&lt;br /&gt;
== Research Team ==&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/gente/profesor-titular/antonio-garcia-marques/ Antonio García Marqués]: [https://scholar.google.es/citations?user=d05JMMkAAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/gente/contratado-doctor/eduardo-morgado-reyes/ Eduardo Morgado Reyes]: [https://scholar.google.es/citations?user=48m8l8IAAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/gente/catedraticos/francisco-javier-ramos-lopez/ Javier Ramos López].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/gente/contratado-doctor/julio-ramiro-bargueno/ Julio Ramiro Bargueño]: [https://scholar.google.es/citations?user=pSAOeAYAAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/gente/contratado-doctor/francisco-javier-simo-reigadas/ Javier Simó Reigadas]: [https://scholar.google.es/citations?user=zoKJHR4AAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/gente/profesor-titular/andres-martinez-fernandez/ Andrés Martínez Fernández].&lt;br /&gt;
&lt;br /&gt;
== Work Team == &lt;br /&gt;
&lt;br /&gt;
=== National ===&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/gente/profesores-visitantes/eduardo-del-arco-fernandez/ Eduardo del Arco Fernández Cano]: [https://scholar.google.es/citations?user=VQNN15oAAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/gente/profesores-visitantes/roberto-san-millan-castillo/ Roberto San Millán Castillo].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/gente/becarios/luis-miguel-lopez-ramos/ Luis Miguel López Ramos]: [https://scholar.google.es/citations?user=3sUAJnwAAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/gente/profesores-visitantes/173-2/ Ignacio Prieto Egido]: [https://scholar.google.es/citations?user=u_kpL6cAAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
=== Foreign ===&lt;br /&gt;
 &lt;br /&gt;
* [https://scholar.google.es/citations?user=Nu_6R8sAAAAJ&amp;amp;hl=es Georgios Giannakis].&lt;br /&gt;
&lt;br /&gt;
* [https://scholar.google.es/citations?user=PhmQ_40AAAAJ&amp;amp;hl=es Alejandro Ribeiro].&lt;br /&gt;
&lt;br /&gt;
* [https://scholar.google.es/citations?user=ep3ABO8AAAAJ&amp;amp;hl=es Nikolaos Gatsis].&lt;br /&gt;
&lt;br /&gt;
* [https://scholar.google.es/citations?user=O1aSMXQAAAAJ&amp;amp;hl=es Santiago Segarra].&lt;br /&gt;
&lt;br /&gt;
* [https://scholar.google.es/citations?user=4QAOifUAAAAJ&amp;amp;hl=es Gonzalo Mateos].&lt;br /&gt;
&lt;br /&gt;
* [https://scholar.google.es/citations?user=P9MqNggAAAAJ&amp;amp;hl=es Geert Leus].&lt;br /&gt;
&lt;br /&gt;
= Former Researchers =&lt;br /&gt;
* [http://www.tsc.urjc.es/fichaPersonal.php?id=358 Giancarlo Pastor Figueroa].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/fichaPersonal.php?id=27 Lorena Fernández Martínez].&lt;br /&gt;
&lt;br /&gt;
* [https://scholar.google.es/citations?user=liL1-FkAAAAJ&amp;amp;hl=es Esteban Municio Hernández].&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Researchers&amp;diff=77</id>
		<title>Researchers</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Researchers&amp;diff=77"/>
				<updated>2016-06-23T11:58:05Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= Current Researchers =&lt;br /&gt;
Most of our researchers are from the [http://www.urjc.es/ Universidad Rey Juan Carlos], but this project count with a high level of international participation. Professors from the University of Minnesota, the University of Pennsylvania, the University of Texas, the University of Rochester and the Delft University of Technology are also working to develop the OMICRON project.&lt;br /&gt;
&lt;br /&gt;
== Research Team ==&lt;br /&gt;
&lt;br /&gt;
* [http://tsc.urjc.es/fichaPersonal.php?id=2 Antonio García Marqués]: [https://scholar.google.es/citations?user=d05JMMkAAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/fichaPersonal.php?id=25 Eduardo Morgado Reyes]: [https://scholar.google.es/citations?user=48m8l8IAAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/fichaPersonal.php?id=21 Javier Ramos López].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/fichaPersonal.php?id=19 Julio Ramiro Bargueño]: [https://scholar.google.es/citations?user=pSAOeAYAAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/fichaPersonal.php?id=22 Javier Simó Reigadas]: [https://scholar.google.es/citations?user=zoKJHR4AAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/fichaPersonal.php?id=17 Andrés Martínez Fernández].&lt;br /&gt;
&lt;br /&gt;
== Work Team == &lt;br /&gt;
&lt;br /&gt;
=== National ===&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/fichaPersonal.php?id=32 Eduardo del Arco Fernández Cano]: [https://scholar.google.es/citations?user=VQNN15oAAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/fichaPersonal.php?id=378 Roberto San Millán Castillo].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/fichaPersonal.php?id=365 Luis Miguel López Ramos]: [https://scholar.google.es/citations?user=3sUAJnwAAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/fichaPersonal.php?id=442 Ignacio Prieto Egido]: [https://scholar.google.es/citations?user=u_kpL6cAAAAJ&amp;amp;hl=es Scholar].&lt;br /&gt;
&lt;br /&gt;
=== Foreign ===&lt;br /&gt;
 &lt;br /&gt;
* [https://scholar.google.es/citations?user=Nu_6R8sAAAAJ&amp;amp;hl=es Georgios Giannakis].&lt;br /&gt;
&lt;br /&gt;
* [https://scholar.google.es/citations?user=PhmQ_40AAAAJ&amp;amp;hl=es Alejandro Ribeiro].&lt;br /&gt;
&lt;br /&gt;
* [https://scholar.google.es/citations?user=ep3ABO8AAAAJ&amp;amp;hl=es Nikolaos Gatsis].&lt;br /&gt;
&lt;br /&gt;
* [https://scholar.google.es/citations?user=O1aSMXQAAAAJ&amp;amp;hl=es Santiago Segarra].&lt;br /&gt;
&lt;br /&gt;
* [https://scholar.google.es/citations?user=4QAOifUAAAAJ&amp;amp;hl=es Gonzalo Mateos].&lt;br /&gt;
&lt;br /&gt;
* [https://scholar.google.es/citations?user=P9MqNggAAAAJ&amp;amp;hl=es Geert Leus].&lt;br /&gt;
&lt;br /&gt;
= Former Researchers =&lt;br /&gt;
* [http://www.tsc.urjc.es/fichaPersonal.php?id=358 Giancarlo Pastor Figueroa].&lt;br /&gt;
&lt;br /&gt;
* [http://www.tsc.urjc.es/fichaPersonal.php?id=27 Lorena Fernández Martínez].&lt;br /&gt;
&lt;br /&gt;
* [https://scholar.google.es/citations?user=liL1-FkAAAAJ&amp;amp;hl=es Esteban Municio Hernández].&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=76</id>
		<title>Objectives</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=76"/>
				<updated>2016-06-23T11:47:58Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The main goal of this project is the design of Resource Allocation (RA) schemes, sensing and monitoring, of robust, smart and partially distributed character. These schemes will optimize the benefits of the next generation MCNs. The flexibility, complexity and autonomy of the devices of the MCN has caused that the purely centralized management and optimization is not viable. This is not only because signalling costs and computational complexity are substantial, but also because many of the new architectures considered for the next generation networks are limiting the collaboration between the devices of the network. The initial hypothesis is that if the schemes that govern the network behaviour are designed using advanced tools for optimization and inference, the benefits obtained will be close to the benefits of a centralized network. This schemes will have less signalling and coordination cost and they will be compatible with the architectures and topologies considered for the next generation MCN.  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For organizing the project, five fundamentals objectives have been identified. Additionally, this objectives have also been divided specific objectives allowing a better and more precise organization:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;img id='objectivesSchema' width=&amp;quot;600&amp;quot; src='http://tsc.urjc.es/wikiOMICRON/images/objectives.png' style='float: right'&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust RA in smart MCN.&lt;br /&gt;
* RA in smart MCN with imperfect NSI.&lt;br /&gt;
* Robust optimization in MCNs.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust sensing and monitoring for smart MCN.&lt;br /&gt;
* Sensing and monitoring&lt;br /&gt;
* Distributed inference in smart MCN.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Global designs for optimization and monitoring in smart MCN.&lt;br /&gt;
* Optimum design for RA and joint monitoring in MCN.&lt;br /&gt;
* Distributed, stochastic and robust implementations. &lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust optimization and monitoring in other smart networks.&lt;br /&gt;
*Robust optimization and monitoring in Smart Grids (SG).&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Implementation in real MCN.&lt;br /&gt;
* Deployment of a SDR platform. &lt;br /&gt;
* Algorithms for QoS in WiFi networks.&lt;br /&gt;
* Algorithms for QoS in LTE-A networks.&lt;br /&gt;
* Implementation of algorithms in SDR platform.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=75</id>
		<title>Objectives</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=75"/>
				<updated>2016-06-23T11:47:27Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The main goal of this project is the design of Resource Allocation (RA) schemes, sensing and monitoring, of robust, smart and partially distributed character. These schemes will optimize the benefits of the next generation MCNs. The flexibility, complexity and autonomy of the devices of the MCN has caused that the purely centralized management and optimization is not viable. This is not only because signalling costs and computational complexity are substantial, but also because many of the new architectures considered for the next generation networks are limiting the collaboration between the devices of the network. The initial hypothesis is that if the schemes that govern the network behaviour are designed using advanced tools for optimization and inference, the benefits obtained will be close to the benefits of a centralized network. This schemes will have less signalling and coordination cost and they will be compatible with the architectures and topologies considered for the next generation MCN.  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For organizing the project, five fundamentals objectives have been identified. Additionally, this objectives have also been divided specific objectives allowing a better and more precise organization:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;img id='objectivesSchema' width=&amp;quot;500&amp;quot; src='http://tsc.urjc.es/wikiOMICRON/images/objectives.png' style='float: right'&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust RA in smart MCN.&lt;br /&gt;
* RA in smart MCN with imperfect NSI.&lt;br /&gt;
* Robust optimization in MCNs.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust sensing and monitoring for smart MCN.&lt;br /&gt;
* Sensing and monitoring&lt;br /&gt;
* Distributed inference in smart MCN.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Global designs for optimization and monitoring in smart MCN.&lt;br /&gt;
* Optimum design for RA and joint monitoring in MCN.&lt;br /&gt;
* Distributed, stochastic and robust implementations. &lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust optimization and monitoring in other smart networks.&lt;br /&gt;
*Robust optimization and monitoring in Smart Grids (SG).&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Implementation in real MCN.&lt;br /&gt;
* Deployment of a SDR platform. &lt;br /&gt;
* Algorithms for QoS in WiFi networks.&lt;br /&gt;
* Algorithms for QoS in LTE-A networks.&lt;br /&gt;
* Implementation of algorithms in SDR platform.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=74</id>
		<title>Objectives</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=74"/>
				<updated>2016-06-23T11:37:10Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The main goal of this project is the design of Resource Allocation (RA) schemes, sensing and monitoring, of robust, smart and partially distributed character. These schemes will optimize the benefits of the next generation MCNs. The flexibility, complexity and autonomy of the devices of the MCN has caused that the purely centralized management and optimization is not viable. This is not only because signalling costs and computational complexity are substantial, but also because many of the new architectures considered for the next generation networks are limiting the collaboration between the devices of the network. The initial hypothesis is that if the schemes that govern the network behaviour are designed using advanced tools for optimization and inference, the benefits obtained will be close to the benefits of a centralized network. This schemes will have less signalling and coordination cost and they will be compatible with the architectures and topologies considered for the next generation MCN.  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For organizing the project, five fundamentals objectives have been identified. Additionally, this objectives have also been divided specific objectives allowing a better and more precise organization:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust RA in smart MCN.&lt;br /&gt;
* RA in smart MCN with imperfect NSI.&lt;br /&gt;
* Robust optimization in MCNs.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust sensing and monitoring for smart MCN.&lt;br /&gt;
* Sensing and monitoring.&lt;br /&gt;
* Distributed inference in smart MCN.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Global designs for optimization and monitoring in smart MCN.&lt;br /&gt;
* Optimum design for RA and joint monitoring in MCN.&lt;br /&gt;
* Distributed, stochastic and robust implementations. &lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust optimization and monitoring in other smart networks.&lt;br /&gt;
*Robust optimization and monitoring in Smart Grids (SG).&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Implementation in real MCN.&lt;br /&gt;
* Deployment of a SDR platform. &lt;br /&gt;
* Algorithms for QoS in WiFi networks.&lt;br /&gt;
* Algorithms for QoS in LTE-A networks.&lt;br /&gt;
* Implementation of algorithms in SDR platform.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;img id='objectivesSchema' width=&amp;quot;500&amp;quot; src='http://tsc.urjc.es/wikiOMICRON/images/objectives.png'&amp;gt;&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=73</id>
		<title>Objectives</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=73"/>
				<updated>2016-06-23T11:31:05Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The main goal of this project is the design of Resource Allocation (RA) schemes, sensing and monitoring, of robust, smart and partially distributed character. These schemes will optimize the benefits of the next generation MCNs. The flexibility, complexity and autonomy of the devices of the MCN has caused that the purely centralized management and optimization is not viable. This is not only because signalling costs and computational complexity are substantial, but also because many of the new architectures considered for the next generation networks are limiting the collaboration between the devices of the network. The initial hypothesis is that if the schemes that govern the network behaviour are designed using advanced tools for optimization and inference, the benefits obtained will be close to the benefits of a centralized network. This schemes will have less signalling and coordination cost and they will be compatible with the architectures and topologies considered for the next generation MCN.  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For organizing the project, five fundamentals objectives have been identified. Additionally, this objectives have also been divided specific objectives allowing a better and more precise organization:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;img width=&amp;quot;300&amp;quot; src='http://tsc.urjc.es/wikiOMICRON/images/objectives.png'&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust RA in smart MCN.&lt;br /&gt;
* RA in smart MCN with imperfect NSI.&lt;br /&gt;
* Robust optimization in MCNs.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust sensing and monitoring for smart MCN.&lt;br /&gt;
* Sensing and monitoring.&lt;br /&gt;
* Distributed inference in smart MCN.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Global designs for optimization and monitoring in smart MCN.&lt;br /&gt;
* Optimum design for RA and joint monitoring in MCN.&lt;br /&gt;
* Distributed, stochastic and robust implementations. &lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust optimization and monitoring in other smart networks.&lt;br /&gt;
*Robust optimization and monitoring in Smart Grids (SG).&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Implementation in real MCN.&lt;br /&gt;
* Deployment of a SDR platform. &lt;br /&gt;
* Algorithms for QoS in WiFi networks.&lt;br /&gt;
* Algorithms for QoS in LTE-A networks.&lt;br /&gt;
* Implementation of algorithms in SDR platform.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=72</id>
		<title>Objectives</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=72"/>
				<updated>2016-06-23T11:18:06Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The main goal of this project is the design of Resource Allocation (RA) schemes, sensing and monitoring, of robust, smart and partially distributed character. These schemes will optimize the benefits of the next generation MCNs. The flexibility, complexity and autonomy of the devices of the MCN has caused that the purely centralized management and optimization is not viable. This is not only because signalling costs and computational complexity are substantial, but also because many of the new architectures considered for the next generation networks are limiting the collaboration between the devices of the network. The initial hypothesis is that if the schemes that govern the network behaviour are designed using advanced tools for optimization and inference, the benefits obtained will be close to the benefits of a centralized network. This schemes will have less signalling and coordination cost and they will be compatible with the architectures and topologies considered for the next generation MCN.  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For organizing the project, five fundamentals objectives have been identified. Additionally, this objectives have also been divided specific objectives allowing a better and more precise organization:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;img width=&amp;quot;512&amp;quot; src='http://tsc.urjc.es/wikiOMICRON/images/objectives.png'&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust RA in smart MCN.&lt;br /&gt;
* RA in smart MCN with imperfect NSI.&lt;br /&gt;
* Robust optimization in MCNs.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust sensing and monitoring for smart MCN.&lt;br /&gt;
* Sensing and monitoring.&lt;br /&gt;
* Distributed inference in smart MCN.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Global designs for optimization and monitoring in smart MCN.&lt;br /&gt;
* Optimum design for RA and joint monitoring in MCN.&lt;br /&gt;
* Distributed, stochastic and robust implementations. &lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust optimization and monitoring in other smart networks.&lt;br /&gt;
*Robust optimization and monitoring in Smart Grids (SG).&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Implementation in real MCN.&lt;br /&gt;
* Deployment of a SDR platform. &lt;br /&gt;
* Algorithms for QoS in WiFi networks.&lt;br /&gt;
* Algorithms for QoS in LTE-A networks.&lt;br /&gt;
* Implementation of algorithms in SDR platform.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=71</id>
		<title>Objectives</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=71"/>
				<updated>2016-06-23T11:17:38Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The main goal of this project is the design of Resource Allocation (RA) schemes, sensing and monitoring, of robust, smart and partially distributed character. These schemes will optimize the benefits of the next generation MCNs. The flexibility, complexity and autonomy of the devices of the MCN has caused that the purely centralized management and optimization is not viable. This is not only because signalling costs and computational complexity are substantial, but also because many of the new architectures considered for the next generation networks are limiting the collaboration between the devices of the network. The initial hypothesis is that if the schemes that govern the network behaviour are designed using advanced tools for optimization and inference, the benefits obtained will be close to the benefits of a centralized network. This schemes will have less signalling and coordination cost and they will be compatible with the architectures and topologies considered for the next generation MCN.  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For organizing the project, five fundamentals objectives have been identified. Additionally, this objectives have also been divided specific objectives allowing a better and more precise organization:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;img width=&amp;quot;512&amp;quot; src='http://tsc.urjc.es/wikiOMICRON/images/objectives.png'&amp;gt;&amp;lt;/img&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust RA in smart MCN.&lt;br /&gt;
* RA in smart MCN with imperfect NSI.&lt;br /&gt;
* Robust optimization in MCNs.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust sensing and monitoring for smart MCN.&lt;br /&gt;
* Sensing and monitoring.&lt;br /&gt;
* Distributed inference in smart MCN.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Global designs for optimization and monitoring in smart MCN.&lt;br /&gt;
* Optimum design for RA and joint monitoring in MCN.&lt;br /&gt;
* Distributed, stochastic and robust implementations. &lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust optimization and monitoring in other smart networks.&lt;br /&gt;
*Robust optimization and monitoring in Smart Grids (SG).&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Implementation in real MCN.&lt;br /&gt;
* Deployment of a SDR platform. &lt;br /&gt;
* Algorithms for QoS in WiFi networks.&lt;br /&gt;
* Algorithms for QoS in LTE-A networks.&lt;br /&gt;
* Implementation of algorithms in SDR platform.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=70</id>
		<title>Objectives</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=70"/>
				<updated>2016-06-23T11:16:55Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The main goal of this project is the design of Resource Allocation (RA) schemes, sensing and monitoring, of robust, smart and partially distributed character. These schemes will optimize the benefits of the next generation MCNs. The flexibility, complexity and autonomy of the devices of the MCN has caused that the purely centralized management and optimization is not viable. This is not only because signalling costs and computational complexity are substantial, but also because many of the new architectures considered for the next generation networks are limiting the collaboration between the devices of the network. The initial hypothesis is that if the schemes that govern the network behaviour are designed using advanced tools for optimization and inference, the benefits obtained will be close to the benefits of a centralized network. This schemes will have less signalling and coordination cost and they will be compatible with the architectures and topologies considered for the next generation MCN.  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For organizing the project, five fundamentals objectives have been identified. Additionally, this objectives have also been divided specific objectives allowing a better and more precise organization:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;img width=&amp;quot;512&amp;quot;&amp;gt;http://tsc.urjc.es/wikiOMICRON/images/objectives.png&amp;lt;/img&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust RA in smart MCN.&lt;br /&gt;
* RA in smart MCN with imperfect NSI.&lt;br /&gt;
* Robust optimization in MCNs.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust sensing and monitoring for smart MCN.&lt;br /&gt;
* Sensing and monitoring.&lt;br /&gt;
* Distributed inference in smart MCN.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Global designs for optimization and monitoring in smart MCN.&lt;br /&gt;
* Optimum design for RA and joint monitoring in MCN.&lt;br /&gt;
* Distributed, stochastic and robust implementations. &lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust optimization and monitoring in other smart networks.&lt;br /&gt;
*Robust optimization and monitoring in Smart Grids (SG).&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Implementation in real MCN.&lt;br /&gt;
* Deployment of a SDR platform. &lt;br /&gt;
* Algorithms for QoS in WiFi networks.&lt;br /&gt;
* Algorithms for QoS in LTE-A networks.&lt;br /&gt;
* Implementation of algorithms in SDR platform.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=69</id>
		<title>Objectives</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=69"/>
				<updated>2016-06-23T11:16:07Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The main goal of this project is the design of Resource Allocation (RA) schemes, sensing and monitoring, of robust, smart and partially distributed character. These schemes will optimize the benefits of the next generation MCNs. The flexibility, complexity and autonomy of the devices of the MCN has caused that the purely centralized management and optimization is not viable. This is not only because signalling costs and computational complexity are substantial, but also because many of the new architectures considered for the next generation networks are limiting the collaboration between the devices of the network. The initial hypothesis is that if the schemes that govern the network behaviour are designed using advanced tools for optimization and inference, the benefits obtained will be close to the benefits of a centralized network. This schemes will have less signalling and coordination cost and they will be compatible with the architectures and topologies considered for the next generation MCN.  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For organizing the project, five fundamentals objectives have been identified. Additionally, this objectives have also been divided specific objectives allowing a better and more precise organization:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;img width=&amp;quot;512&amp;quot; height=&amp;quot;400&amp;quot;&amp;gt;/wikiOMICRON/images/objectives.png&amp;lt;/img&amp;gt; &lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust RA in smart MCN.&lt;br /&gt;
* RA in smart MCN with imperfect NSI.&lt;br /&gt;
* Robust optimization in MCNs.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust sensing and monitoring for smart MCN.&lt;br /&gt;
* Sensing and monitoring.&lt;br /&gt;
* Distributed inference in smart MCN.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Global designs for optimization and monitoring in smart MCN.&lt;br /&gt;
* Optimum design for RA and joint monitoring in MCN.&lt;br /&gt;
* Distributed, stochastic and robust implementations. &lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust optimization and monitoring in other smart networks.&lt;br /&gt;
*Robust optimization and monitoring in Smart Grids (SG).&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Implementation in real MCN.&lt;br /&gt;
* Deployment of a SDR platform. &lt;br /&gt;
* Algorithms for QoS in WiFi networks.&lt;br /&gt;
* Algorithms for QoS in LTE-A networks.&lt;br /&gt;
* Implementation of algorithms in SDR platform.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=68</id>
		<title>Experiments</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Experiments&amp;diff=68"/>
				<updated>2016-06-22T10:46:42Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;In this project there are mainly three different types of experiments:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using code in Matlab for publications and theoretical demonstrations mainly.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications using the SDR platform for trying the algorithms with real components.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;Applications deployed in real networks without using the SDR platform.&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;br /&gt;
&lt;br /&gt;
This page will contain the description of the different experiments we have performed, including the code, providing that other people can use repeat them.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=67</id>
		<title>Documentation</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=67"/>
				<updated>2016-06-22T10:20:21Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= SDR =&lt;br /&gt;
For the SDR hardware, several different plates have been considered. Finally, we have decided that the most appropriate plate for this project is the USRP B210, due to the trade-off between price and flexibility.&lt;br /&gt;
&lt;br /&gt;
== [https://www.ettus.com/product/details/UB210-KIT USRP B210] ==&lt;br /&gt;
The USRP (Universal Software Radio Peripheral) is a flexible and affordable transceiver that turns a standard PC into a powerful wireless prototyping system.&lt;br /&gt;
&lt;br /&gt;
=== Overview ===&lt;br /&gt;
The USRP B210 comes straight from the R&amp;amp;D labs of Ettus Research providing early access to cutting edge experimental hardware covering 70MHz – 6GHz with integrated RFIC technology, a Spartan6 FPGA, and USB 3.0 connectivity. This new platform enables experimentation with wide range of applications including:  FM and TV broadcast, cellular, WiFi, ISM, and more. The USRP B210 features two receive and two transmit channels, incorporates an open FPGA and includes an external power supply.  It uses new Analog Devices RFIC to deliver a cost-effective experimentation platform and a high bandwidth USB 3.0 bus with up to 56 MHz of instantaneous bandwidth in 1x1 operation and up to 32MHz of instantaneous bandwidth in 2x2 operation  on select USB 3.0 chipsets (backwards compatibly to USB 2.0 for 6MHz of instantaneous bandwidth).  The two transmit pairs and receive pairs each share a local oscillator for fully coherent MIMO applications.&lt;br /&gt;
With this new kit, users can develop their GNU Radio applications and seamlessly port their designs to higher performance USRP systems such as USRP N210 with industry proven 1 Gigabit Ethernet connectivity or the USRP E100 embedded form factor, both including discrete RF boards with higher sensitivity, dynamic range, and IP3 performance using the common USRP Hardware Driver (UHD) framework.&lt;br /&gt;
&lt;br /&gt;
=== Features ===&lt;br /&gt;
&lt;br /&gt;
* Radio functionality&lt;br /&gt;
** 2 Transmit, 2 Receive&lt;br /&gt;
** Full duplex or half duplex&lt;br /&gt;
** Frequency range: 70 MHz to 6 GHz&lt;br /&gt;
** Baseband: 12-bit ADC/DAC&lt;br /&gt;
** Up to to 61.44 MS/s allows up to 56 MHz of real time bandwidth per channel&lt;br /&gt;
** Up to 32 MHz of real time bandwidth in 2x2 MIMO mode&lt;br /&gt;
&lt;br /&gt;
* USB 3.0 interfaceFPGA – Spartan 6 XC6SLX75&lt;br /&gt;
** Up to 3.2Gb/s sustainable transfer rates&lt;br /&gt;
** Supports USB 2.0 controllers&lt;br /&gt;
&lt;br /&gt;
* USRP Hardware Driver™ (UHD) compatible&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
== [http://gnuradio.org/ GNU Radio] ==&lt;br /&gt;
GNU Radio is a free software development toolkit that provides signal processing blocks to implement software-defined radios and signal processing systems. It can be used with external RF hardware to create software-defined radios, or without hardware in a simulation-like environment. It is widely used in hobbyist, academic, and commercial environments to support both wireless communications research and real-world radio systems.&lt;br /&gt;
&lt;br /&gt;
=== Overview ===&lt;br /&gt;
The GNU Radio software provides the framework and tools to build and run software radio or just general signal processing applications. The GNU Radio applications themselves are generally known as 'flowgraphs', which are a series of signal processing blocks connected together, thus describing a data flow. As with all software-defined radio systems, reconfigurability is a key feature. Instead of using different radios designed for specific but disparate purposes, a single, general-purpose, radio can be used as the radio front-end, and the signal-processing software (here, GNU Radio), handles the processing specific to the radio application.&lt;br /&gt;
&lt;br /&gt;
These flowgraphs can be written in either C++ or the Python programming language. The GNU Radio infrastructure is written entirely in C++, and many of the user tools are written in Python.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= [http://tsc.urjc.es/wikiOMICRON/index.php/Experiments Experiments] =&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=MediaWiki:Sidebar&amp;diff=66</id>
		<title>MediaWiki:Sidebar</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=MediaWiki:Sidebar&amp;diff=66"/>
				<updated>2016-06-22T10:19:31Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;* navigation&lt;br /&gt;
** mainpage | OMICRON&lt;br /&gt;
** objectives | Objectives&lt;br /&gt;
** documentation | Documentation&lt;br /&gt;
** Articles | Publications&lt;br /&gt;
** researchers | Researchers&lt;br /&gt;
** acronyms | Acronyms&lt;br /&gt;
&lt;br /&gt;
* Documentation&lt;br /&gt;
** documentation | Documentation&lt;br /&gt;
** experiments | Experiments&lt;br /&gt;
&lt;br /&gt;
* SEARCH&lt;br /&gt;
* TOOLBOX&lt;br /&gt;
* LANGUAGES&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=65</id>
		<title>Documentation</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=65"/>
				<updated>2016-06-22T10:15:23Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= SDR =&lt;br /&gt;
For the SDR hardware, several different plates have been considered. Finally, we have decided that the most appropriate plate for this project is the USRP B210, due to the trade-off between price and flexibility.&lt;br /&gt;
&lt;br /&gt;
== [https://www.ettus.com/product/details/UB210-KIT USRP B210] ==&lt;br /&gt;
The USRP (Universal Software Radio Peripheral) is a flexible and affordable transceiver that turns a standard PC into a powerful wireless prototyping system.&lt;br /&gt;
&lt;br /&gt;
=== Overview ===&lt;br /&gt;
The USRP B210 comes straight from the R&amp;amp;D labs of Ettus Research providing early access to cutting edge experimental hardware covering 70MHz – 6GHz with integrated RFIC technology, a Spartan6 FPGA, and USB 3.0 connectivity. This new platform enables experimentation with wide range of applications including:  FM and TV broadcast, cellular, WiFi, ISM, and more. The USRP B210 features two receive and two transmit channels, incorporates an open FPGA and includes an external power supply.  It uses new Analog Devices RFIC to deliver a cost-effective experimentation platform and a high bandwidth USB 3.0 bus with up to 56 MHz of instantaneous bandwidth in 1x1 operation and up to 32MHz of instantaneous bandwidth in 2x2 operation  on select USB 3.0 chipsets (backwards compatibly to USB 2.0 for 6MHz of instantaneous bandwidth).  The two transmit pairs and receive pairs each share a local oscillator for fully coherent MIMO applications.&lt;br /&gt;
With this new kit, users can develop their GNU Radio applications and seamlessly port their designs to higher performance USRP systems such as USRP N210 with industry proven 1 Gigabit Ethernet connectivity or the USRP E100 embedded form factor, both including discrete RF boards with higher sensitivity, dynamic range, and IP3 performance using the common USRP Hardware Driver (UHD) framework.&lt;br /&gt;
&lt;br /&gt;
=== Features ===&lt;br /&gt;
&lt;br /&gt;
* Radio functionality&lt;br /&gt;
** 2 Transmit, 2 Receive&lt;br /&gt;
** Full duplex or half duplex&lt;br /&gt;
** Frequency range: 70 MHz to 6 GHz&lt;br /&gt;
** Baseband: 12-bit ADC/DAC&lt;br /&gt;
** Up to to 61.44 MS/s allows up to 56 MHz of real time bandwidth per channel&lt;br /&gt;
** Up to 32 MHz of real time bandwidth in 2x2 MIMO mode&lt;br /&gt;
&lt;br /&gt;
* USB 3.0 interfaceFPGA – Spartan 6 XC6SLX75&lt;br /&gt;
** Up to 3.2Gb/s sustainable transfer rates&lt;br /&gt;
** Supports USB 2.0 controllers&lt;br /&gt;
&lt;br /&gt;
* USRP Hardware Driver™ (UHD) compatible&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
== [http://gnuradio.org/ GNU Radio] ==&lt;br /&gt;
GNU Radio is a free software development toolkit that provides signal processing blocks to implement software-defined radios and signal processing systems. It can be used with external RF hardware to create software-defined radios, or without hardware in a simulation-like environment. It is widely used in hobbyist, academic, and commercial environments to support both wireless communications research and real-world radio systems.&lt;br /&gt;
&lt;br /&gt;
=== Overview ===&lt;br /&gt;
The GNU Radio software provides the framework and tools to build and run software radio or just general signal processing applications. The GNU Radio applications themselves are generally known as 'flowgraphs', which are a series of signal processing blocks connected together, thus describing a data flow. As with all software-defined radio systems, reconfigurability is a key feature. Instead of using different radios designed for specific but disparate purposes, a single, general-purpose, radio can be used as the radio front-end, and the signal-processing software (here, GNU Radio), handles the processing specific to the radio application.&lt;br /&gt;
&lt;br /&gt;
These flowgraphs can be written in either C++ or the Python programming language. The GNU Radio infrastructure is written entirely in C++, and many of the user tools are written in Python.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= [http://tsc.urjc.es/wikiOMICRON/index.php/Code Code] =&lt;br /&gt;
&lt;br /&gt;
= [http://tsc.urjc.es/wikiOMICRON/index.php/Experiments Experiments] =&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=MediaWiki:Sidebar&amp;diff=64</id>
		<title>MediaWiki:Sidebar</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=MediaWiki:Sidebar&amp;diff=64"/>
				<updated>2016-06-22T10:09:05Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;* navigation&lt;br /&gt;
** mainpage | OMICRON&lt;br /&gt;
** objectives | Objectives&lt;br /&gt;
** documentation | Documentation&lt;br /&gt;
** Articles | Publications&lt;br /&gt;
** researchers | Researchers&lt;br /&gt;
** acronyms | Acronyms&lt;br /&gt;
&lt;br /&gt;
* Documentation&lt;br /&gt;
** documentation | Documentation&lt;br /&gt;
** code | Code&lt;br /&gt;
** experiments | Experiments&lt;br /&gt;
&lt;br /&gt;
* SEARCH&lt;br /&gt;
* TOOLBOX&lt;br /&gt;
* LANGUAGES&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=63</id>
		<title>Objectives</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Objectives&amp;diff=63"/>
				<updated>2016-06-22T10:05:07Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;The main goal of this project is the design of Resource Allocation (RA) schemes, sensing and monitoring, of robust, smart and partially distributed character. These schemes will optimize the benefits of the next generation MCNs. The flexibility, complexity and autonomy of the devices of the MCN has caused that the purely centralized management and optimization is not viable. This is not only because signalling costs and computational complexity are substantial, but also because many of the new architectures considered for the next generation networks are limiting the collaboration between the devices of the network. The initial hypothesis is that if the schemes that govern the network behaviour are designed using advanced tools for optimization and inference, the benefits obtained will be close to the benefits of a centralized network. This schemes will have less signalling and coordination cost and they will be compatible with the architectures and topologies considered for the next generation MCN.  &lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
For organizing the project, five fundamentals objectives have been identified. Additionally, this objectives have also been divided specific objectives allowing a better and more precise organization:&lt;br /&gt;
&lt;br /&gt;
&amp;lt;ol&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust RA in smart MCN.&lt;br /&gt;
* RA in smart MCN with imperfect NSI.&lt;br /&gt;
* Robust optimization in MCNs.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust sensing and monitoring for smart MCN.&lt;br /&gt;
* Sensing and monitoring.&lt;br /&gt;
* Distributed inference in smart MCN.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Global designs for optimization and monitoring in smart MCN.&lt;br /&gt;
* Optimum design for RA and joint monitoring in MCN.&lt;br /&gt;
* Distributed, stochastic and robust implementations. &lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Robust optimization and monitoring in other smart networks.&lt;br /&gt;
*Robust optimization and monitoring in Smart Grids (SG).&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;br/&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Implementation in real MCN.&lt;br /&gt;
* Deployment of a SDR platform. &lt;br /&gt;
* Algorithms for QoS in WiFi networks.&lt;br /&gt;
* Algorithms for QoS in LTE-A networks.&lt;br /&gt;
* Implementation of algorithms in SDR platform.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ol&amp;gt;&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Acronyms&amp;diff=62</id>
		<title>Acronyms</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Acronyms&amp;diff=62"/>
				<updated>2016-06-15T10:04:05Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: Created page with &amp;quot;* '''FPGA''' - Field Programmable Gate Array * '''MCN''' - Mobile Communication Networks * '''NSI''' - Network State Information * '''RA''' - Resource Allocation * '''RFIC'''...&amp;quot;&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;* '''FPGA''' - Field Programmable Gate Array&lt;br /&gt;
* '''MCN''' - Mobile Communication Networks&lt;br /&gt;
* '''NSI''' - Network State Information&lt;br /&gt;
* '''RA''' - Resource Allocation&lt;br /&gt;
* '''RFIC''' - Radio Frequency Integrated Circuit&lt;br /&gt;
* '''SDR''' - Software Defined Radio&lt;br /&gt;
* '''SG''' - Smart Grids&lt;br /&gt;
* '''USRP''' - Universal Software Radio Peripheral&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=MediaWiki:Sidebar&amp;diff=61</id>
		<title>MediaWiki:Sidebar</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=MediaWiki:Sidebar&amp;diff=61"/>
				<updated>2016-06-15T09:57:06Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;* navigation&lt;br /&gt;
** mainpage | OMICRON&lt;br /&gt;
** objectives | Objectives&lt;br /&gt;
** documentation | Documentation&lt;br /&gt;
** researchers | Researchers&lt;br /&gt;
** acronyms | Acronyms&lt;br /&gt;
&lt;br /&gt;
* Documentation&lt;br /&gt;
** documentation | Documentation&lt;br /&gt;
** code | Code&lt;br /&gt;
** experiments | Experiments&lt;br /&gt;
&lt;br /&gt;
* SEARCH&lt;br /&gt;
* TOOLBOX&lt;br /&gt;
* LANGUAGES&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=60</id>
		<title>Articles</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=60"/>
				<updated>2016-06-14T09:18:03Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* Conferences */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Published Articles == &lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Cat&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Cognitive+Radios+with+Ergodic+Capacity+Guarantees+for+Primary+Users&amp;amp;btnG=&amp;amp;lr= Cognitive Radios with Ergodic Capacity Guarantees for Primary Users]  &lt;br /&gt;
| A. G. Marques, C. Figuera, E. Morgado, and J. Ramos&lt;br /&gt;
| 2012, June &lt;br /&gt;
| IEEE Trans. on Wireless Commun.&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals+through+Percolation+from+Seeding+Nodes&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals through Percolation from Seeding Nodes] &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, July &lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals+with+Successive+Local+Aggregations&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals with Successive Local Aggregations]&lt;br /&gt;
| A. G. Marques, S. Segarra, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=A+dual+IEEE+802.11+and+IEEE+802.15-4+network+architecture+for+energy-efficient+communications+with+low-demanding+applications&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A dual IEEE 802.11 and IEEE 802.15-4 network architecture for energy-efficient communications with low-demanding applications]&lt;br /&gt;
| I. Foche-Perez, J. Simo-Reigadas, I. Prieto-Egido, , E. Morgado, A. Martinez-Fernandez&lt;br /&gt;
| 2015, September&lt;br /&gt;
| Ad Hoc Networks&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Battery-Aware+Selective+Communications+in+Energy-Harvesting+Sensor+Networks%3A+A+Sequential+Decision+Approach&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Battery-Aware Selective Communications in Energy-Harvesting Sensor Networks: A Sequential Decision Approach]&lt;br /&gt;
| J. Fernandez-Bes, J. Cid-Sueiro, and A. G. Marques&lt;br /&gt;
| 2013, August&lt;br /&gt;
| IEEE J. Sel. Areas in Commun.&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Jointly+Optimal+Sensing+and+Resource+Allocation+for+Multiuser+Interweave+Cognitive+Radios&amp;amp;btnG=&amp;amp;lr= Jointly Optimal Sensing and Resource Allocation for Multiuser Interweave Cognitive Radios]&lt;br /&gt;
| L. M. Lopez-Ramos, A. G. Marques, and J. Ramos&lt;br /&gt;
| 2014, August&lt;br /&gt;
| IEEE Trans. on Wireless Commun&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Conferences ==&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Conference&lt;br /&gt;
! Material&lt;br /&gt;
|-&lt;br /&gt;
| Rethinking Sketching as Sampling: Linear Transforms of Graph Signals&lt;br /&gt;
| F. Gama, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA &lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Network+Topology+Identification+from+Imperfect+Spectral+Templates&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Network Topology Identification from Imperfect Spectral Templates]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| Space-Time Scheduling For Green Data Center Networks&lt;br /&gt;
| T. Chen, A. G. Marques, and G. B. Giannakis&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| SIGIBE: Solving Random Bilinear Equations via Gradient Descent with Spectral Initialization&lt;br /&gt;
| A. G. Marques, G. Mateos, and Y. Eldar&lt;br /&gt;
| 2016, September&lt;br /&gt;
| Proc. of European Signal Process. Conf., Budapest, Hungary&lt;br /&gt;
|-&lt;br /&gt;
| Stationary Graph Processes: Nonparametric Power Spectral Estimation &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2016, July&lt;br /&gt;
| Proc. of IEEE Sensor Array and Multichannel Signal Process. Wrksp., Rio de Janeiro, Brazil&lt;br /&gt;
|-&lt;br /&gt;
| Network Topology Identification from Spectral Templates&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, June&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Statistical Signal Process., Palma de Mallorca, Spain&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Blind+Identification+of+Graph+Filters+with+Multiple+Sparse+Inputs&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Blind Identification of Graph Filters with Multiple Sparse Inputs]&lt;br /&gt;
|  S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamgmar_icassp16_slides.pdf Slides]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Space-Shift+Sampling+of+Graph+Signals&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Space-Shift Sampling of Graph Signals]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamglar_icassp16_slides.pdf Slides]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Linear+Network+Operators+Using+Node-Variant+Graph+Filters+Linear+Network+Operators+Using+Node-Variant+Graph+Filters&amp;amp;btnG=&amp;amp;lr= Linear Network Operators Using Node-Variant Graph Filters Linear Network Operators Using Node-Variant Graph Filters]&lt;br /&gt;
| S. Segarra, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamar_icassp16_slides.pdf Poster]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Blind+Identification+of+Graph+Filters+with+Sparse+Inputs&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Blind Identification of Graph Filters with Sparse Inputs]&lt;br /&gt;
| S. Segarra, G. Mateos, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Aggregation+Sampling+of+Graph+Signals+in+the+Presence+of+Noise&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Aggregation Sampling of Graph Signals in the Presence of Noise]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Microgrid+Dispatch+and+Price+of+Reliability+Using+Stochastic+Approximation&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Microgrid Dispatch and Price of Reliability Using Stochastic Approximation]&lt;br /&gt;
| L. M. Lopez-Ramos, V. Kekatos, A. G. Marques, and G. B. Giannakis&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE of Global Conf. on Signal and Info. Process., Orlando, FL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals%3A+Percolation+from+a+Single+Seeding+Node&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals: Percolation from a Single Seeding Node]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE of Global Conf. on Signal and Info. Process., Orlando, FL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals%3A+Successive+Local+Aggregations+at+a+Single+Node&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals: Successive Local Aggregations at a Single Node]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, November&lt;br /&gt;
| Proc. of 49th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| Distributed Implementation of Network Linear Operators using Graph Filters&lt;br /&gt;
| S. Segarra, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2015, September&lt;br /&gt;
| Proc. of 53rd Allerton Conf. on Commun. Control and Computing, Univ. of Illinois at U-C, Monticello, IL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Interpolation+of+Graph+Signals+Using+Shift-Invariant+Graph+Filters&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Interpolation of Graph Signals Using Shift-Invariant Graph Filters]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, August&lt;br /&gt;
| Proc. of European Signal Process. Conf., Nice, France&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=%22Underlay+Multi-Hop+Cognitive+Networks+with+Orthogonal+Access&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Underlay Multi-Hop Cognitive Networks with Orthogonal Access]&lt;br /&gt;
| A. G. Marques, S. Molinero and G. B. Giannakis&lt;br /&gt;
| 2015, June&lt;br /&gt;
| Proc. of IEEE CORAL 2015 at IEEE Intl. Symp. World of Wireless, Mobile and Multimedia Networks, Boston, USA&lt;br /&gt;
|-&lt;br /&gt;
|[https://scholar.google.es/scholar?q=A+Decomposition+Method+for+Optimal+User+Assignment+in+Cellular+Networks+with+Orthogonal+Transmissions&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A Decomposition Method for Optimal User Assignment in Cellular Networks with Orthogonal Transmissions]&lt;br /&gt;
| A. G. Marques, L. Cadarso, E. Morgado and C. Figuera&lt;br /&gt;
| 2015, April&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Brisbane, Australia&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=59</id>
		<title>Documentation</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=59"/>
				<updated>2016-06-14T08:59:55Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;= SDR =&lt;br /&gt;
&lt;br /&gt;
== USRP B210 ==&lt;br /&gt;
The USRP (Universal Software Radio Peripheral) is a flexible and affordable transceiver that turns a standard PC into a powerful wireless prototyping system.&lt;br /&gt;
&lt;br /&gt;
=== Overview ===&lt;br /&gt;
The USRP B210 comes straight from the R&amp;amp;D labs of Ettus Research providing early access to cutting edge experimental hardware covering 70MHz – 6GHz with integrated RFIC technology, a Spartan6 FPGA, and USB 3.0 connectivity. This new platform enables experimentation with wide range of applications including:  FM and TV broadcast, cellular, WiFi, ISM, and more. The USRP B210 features two receive and two transmit channels, incorporates an open FPGA and includes an external power supply.  It uses new Analog Devices RFIC to deliver a cost-effective experimentation platform and a high bandwidth USB 3.0 bus with up to 56 MHz of instantaneous bandwidth in 1x1 operation and up to 32MHz of instantaneous bandwidth in 2x2 operation  on select USB 3.0 chipsets (backwards compatibly to USB 2.0 for 6MHz of instantaneous bandwidth).  The two transmit pairs and receive pairs each share a local oscillator for fully coherent MIMO applications.&lt;br /&gt;
With this new kit, users can develop their GNU Radio applications and seamlessly port their designs to higher performance USRP systems such as USRP N210 with industry proven 1 Gigabit Ethernet connectivity or the USRP E100 embedded form factor, both including discrete RF boards with higher sensitivity, dynamic range, and IP3 performance using the common USRP Hardware Driver (UHD) framework.&lt;br /&gt;
&lt;br /&gt;
=== Features ===&lt;br /&gt;
&lt;br /&gt;
* Radio functionality&lt;br /&gt;
** 2 Transmit, 2 Receive&lt;br /&gt;
** Full duplex or half duplex&lt;br /&gt;
** Frequency range: 70 MHz to 6 GHz&lt;br /&gt;
** Baseband: 12-bit ADC/DAC&lt;br /&gt;
** Up to to 61.44 MS/s allows up to 56 MHz of real time bandwidth per channel&lt;br /&gt;
** Up to 32 MHz of real time bandwidth in 2x2 MIMO mode&lt;br /&gt;
&lt;br /&gt;
* USB 3.0 interfaceFPGA – Spartan 6 XC6SLX75&lt;br /&gt;
** Up to 3.2Gb/s sustainable transfer rates&lt;br /&gt;
** Supports USB 2.0 controllers&lt;br /&gt;
&lt;br /&gt;
* USRP Hardware Driver™ (UHD) compatible&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
== GNU Radio ==&lt;br /&gt;
GNU Radio is a free software development toolkit that provides signal processing blocks to implement software-defined radios and signal processing systems. It can be used with external RF hardware to create software-defined radios, or without hardware in a simulation-like environment. It is widely used in hobbyist, academic, and commercial environments to support both wireless communications research and real-world radio systems.&lt;br /&gt;
&lt;br /&gt;
=== Overview ===&lt;br /&gt;
The GNU Radio software provides the framework and tools to build and run software radio or just general signal processing applications. The GNU Radio applications themselves are generally known as 'flowgraphs', which are a series of signal processing blocks connected together, thus describing a data flow. As with all software-defined radio systems, reconfigurability is a key feature. Instead of using different radios designed for specific but disparate purposes, a single, general-purpose, radio can be used as the radio front-end, and the signal-processing software (here, GNU Radio), handles the processing specific to the radio application.&lt;br /&gt;
&lt;br /&gt;
These flowgraphs can be written in either C++ or the Python programming language. The GNU Radio infrastructure is written entirely in C++, and many of the user tools are written in Python.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
= [http://tsc.urjc.es/wikiOMICRON/index.php/articles Related Articles and Conferences] =&lt;br /&gt;
&lt;br /&gt;
= [http://tsc.urjc.es/wikiOMICRON/index.php/Code Code] =&lt;br /&gt;
&lt;br /&gt;
= [http://tsc.urjc.es/wikiOMICRON/index.php/Experiments Experiments] =&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=58</id>
		<title>Documentation</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=58"/>
				<updated>2016-06-14T08:51:49Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* USRP B210 */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== SDR ==&lt;br /&gt;
&lt;br /&gt;
=== USRP B210 ===&lt;br /&gt;
&lt;br /&gt;
==== Overview ====&lt;br /&gt;
The USRP (Universal Software Radio Peripheral) is a flexible and affordable transceiver that turns a standard PC into a powerful wireless prototyping system.&lt;br /&gt;
&lt;br /&gt;
The USRP B210 comes straight from the R&amp;amp;D labs of Ettus Research providing early access to cutting edge experimental hardware covering 70MHz – 6GHz with integrated RFIC technology, a Spartan6 FPGA, and USB 3.0 connectivity. This new platform enables experimentation with wide range of applications including:  FM and TV broadcast, cellular, WiFi, ISM, and more. The USRP B210 features two receive and two transmit channels, incorporates an open FPGA and includes an external power supply.  It uses new Analog Devices RFIC to deliver a cost-effective experimentation platform and a high bandwidth USB 3.0 bus with up to 56 MHz of instantaneous bandwidth in 1x1 operation and up to 32MHz of instantaneous bandwidth in 2x2 operation  on select USB 3.0 chipsets (backwards compatibly to USB 2.0 for 6MHz of instantaneous bandwidth).  The two transmit pairs and receive pairs each share a local oscillator for fully coherent MIMO applications.&lt;br /&gt;
With this new kit, users can develop their GNU Radio applications and seamlessly port their designs to higher performance USRP systems such as USRP N210 with industry proven 1 Gigabit Ethernet connectivity or the USRP E100 embedded form factor, both including discrete RF boards with higher sensitivity, dynamic range, and IP3 performance using the common USRP Hardware Driver (UHD) framework.&lt;br /&gt;
&lt;br /&gt;
==== Features ====&lt;br /&gt;
&lt;br /&gt;
* Radio functionality&lt;br /&gt;
** 2 Transmit, 2 Receive&lt;br /&gt;
** Full duplex or half duplex&lt;br /&gt;
** Frequency range: 70 MHz to 6 GHz&lt;br /&gt;
** Baseband: 12-bit ADC/DAC&lt;br /&gt;
** Up to to 61.44 MS/s allows up to 56 MHz of real time bandwidth per channel&lt;br /&gt;
** Up to 32 MHz of real time bandwidth in 2x2 MIMO mode&lt;br /&gt;
&lt;br /&gt;
* USB 3.0 interfaceFPGA – Spartan 6 XC6SLX75&lt;br /&gt;
** Up to 3.2Gb/s sustainable transfer rates&lt;br /&gt;
** Supports USB 2.0 controllers&lt;br /&gt;
&lt;br /&gt;
* USRP Hardware Driver™ (UHD) compatible&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/articles Related Articles and Conferences] ==&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/Code Code] ==&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/Experiments Experiments] ==&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=57</id>
		<title>Documentation</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=57"/>
				<updated>2016-06-14T08:49:59Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* Features */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== SDR ==&lt;br /&gt;
&lt;br /&gt;
=== USRP B210 ===&lt;br /&gt;
&lt;br /&gt;
==== Overview ====&lt;br /&gt;
The USRP B210 comes straight from the R&amp;amp;D labs of Ettus Research providing early access to cutting edge experimental hardware covering 70MHz – 6GHz with integrated RFIC technology, a Spartan6 FPGA, and USB 3.0 connectivity. This new platform enables experimentation with wide range of applications including:  FM and TV broadcast, cellular, WiFi, ISM, and more. The USRP B210 features two receive and two transmit channels, incorporates an open FPGA and includes an external power supply.  It uses new Analog Devices RFIC to deliver a cost-effective experimentation platform and a high bandwidth USB 3.0 bus with up to 56 MHz of instantaneous bandwidth in 1x1 operation and up to 32MHz of instantaneous bandwidth in 2x2 operation  on select USB 3.0 chipsets (backwards compatibly to USB 2.0 for 6MHz of instantaneous bandwidth).  The two transmit pairs and receive pairs each share a local oscillator for fully coherent MIMO applications.&lt;br /&gt;
With this new kit, users can develop their GNU Radio applications and seamlessly port their designs to higher performance USRP systems such as USRP N210 with industry proven 1 Gigabit Ethernet connectivity or the USRP E100 embedded form factor, both including discrete RF boards with higher sensitivity, dynamic range, and IP3 performance using the common USRP Hardware Driver (UHD) framework.&lt;br /&gt;
&lt;br /&gt;
==== Features ====&lt;br /&gt;
&lt;br /&gt;
* Radio functionality&lt;br /&gt;
** 2 Transmit, 2 Receive&lt;br /&gt;
** Full duplex or half duplex&lt;br /&gt;
** Frequency range: 70 MHz to 6 GHz&lt;br /&gt;
** Baseband: 12-bit ADC/DAC&lt;br /&gt;
** Up to to 61.44 MS/s allows up to 56 MHz of real time bandwidth per channel&lt;br /&gt;
** Up to 32 MHz of real time bandwidth in 2x2 MIMO mode&lt;br /&gt;
&lt;br /&gt;
* USB 3.0 interfaceFPGA – Spartan 6 XC6SLX75&lt;br /&gt;
** Up to 3.2Gb/s sustainable transfer rates&lt;br /&gt;
** Supports USB 2.0 controllers&lt;br /&gt;
&lt;br /&gt;
* USRP Hardware Driver™ (UHD) compatible&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/articles Related Articles and Conferences] ==&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/Code Code] ==&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/Experiments Experiments] ==&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=56</id>
		<title>Documentation</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=56"/>
				<updated>2016-06-14T08:47:42Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* Features */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== SDR ==&lt;br /&gt;
&lt;br /&gt;
=== USRP B210 ===&lt;br /&gt;
&lt;br /&gt;
==== Overview ====&lt;br /&gt;
The USRP B210 comes straight from the R&amp;amp;D labs of Ettus Research providing early access to cutting edge experimental hardware covering 70MHz – 6GHz with integrated RFIC technology, a Spartan6 FPGA, and USB 3.0 connectivity. This new platform enables experimentation with wide range of applications including:  FM and TV broadcast, cellular, WiFi, ISM, and more. The USRP B210 features two receive and two transmit channels, incorporates an open FPGA and includes an external power supply.  It uses new Analog Devices RFIC to deliver a cost-effective experimentation platform and a high bandwidth USB 3.0 bus with up to 56 MHz of instantaneous bandwidth in 1x1 operation and up to 32MHz of instantaneous bandwidth in 2x2 operation  on select USB 3.0 chipsets (backwards compatibly to USB 2.0 for 6MHz of instantaneous bandwidth).  The two transmit pairs and receive pairs each share a local oscillator for fully coherent MIMO applications.&lt;br /&gt;
With this new kit, users can develop their GNU Radio applications and seamlessly port their designs to higher performance USRP systems such as USRP N210 with industry proven 1 Gigabit Ethernet connectivity or the USRP E100 embedded form factor, both including discrete RF boards with higher sensitivity, dynamic range, and IP3 performance using the common USRP Hardware Driver (UHD) framework.&lt;br /&gt;
&lt;br /&gt;
==== Features ====&lt;br /&gt;
&amp;lt;ul&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
 Radio functionality&lt;br /&gt;
  * 2 Transmit, 2 Receive&lt;br /&gt;
  * Full duplex or half duplex&lt;br /&gt;
  * Frequency range: 70 MHz to 6 GHz&lt;br /&gt;
  * Baseband: 12-bit ADC/DAC&lt;br /&gt;
  * Up to to 61.44 MS/s allows up to 56 MHz of real time bandwidth per channel&lt;br /&gt;
  * Up to 32 MHz of real time bandwidth in 2x2 MIMO mode&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
 USB 3.0 interfaceFPGA – Spartan 6 XC6SLX75&lt;br /&gt;
  * Up to 3.2Gb/s sustainable transfer rates&lt;br /&gt;
  * Supports USB 2.0 controllers&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
 USRP Hardware Driver™ (UHD) compatible&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
 Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;li&amp;gt;&lt;br /&gt;
Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&amp;lt;/li&amp;gt;&lt;br /&gt;
&amp;lt;/ul&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/articles Related Articles and Conferences] ==&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/Code Code] ==&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/Experiments Experiments] ==&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=55</id>
		<title>Documentation</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=55"/>
				<updated>2016-06-14T08:45:15Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* SDR */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== SDR ==&lt;br /&gt;
&lt;br /&gt;
=== USRP B210 ===&lt;br /&gt;
&lt;br /&gt;
==== Overview ====&lt;br /&gt;
The USRP B210 comes straight from the R&amp;amp;D labs of Ettus Research providing early access to cutting edge experimental hardware covering 70MHz – 6GHz with integrated RFIC technology, a Spartan6 FPGA, and USB 3.0 connectivity. This new platform enables experimentation with wide range of applications including:  FM and TV broadcast, cellular, WiFi, ISM, and more. The USRP B210 features two receive and two transmit channels, incorporates an open FPGA and includes an external power supply.  It uses new Analog Devices RFIC to deliver a cost-effective experimentation platform and a high bandwidth USB 3.0 bus with up to 56 MHz of instantaneous bandwidth in 1x1 operation and up to 32MHz of instantaneous bandwidth in 2x2 operation  on select USB 3.0 chipsets (backwards compatibly to USB 2.0 for 6MHz of instantaneous bandwidth).  The two transmit pairs and receive pairs each share a local oscillator for fully coherent MIMO applications.&lt;br /&gt;
With this new kit, users can develop their GNU Radio applications and seamlessly port their designs to higher performance USRP systems such as USRP N210 with industry proven 1 Gigabit Ethernet connectivity or the USRP E100 embedded form factor, both including discrete RF boards with higher sensitivity, dynamic range, and IP3 performance using the common USRP Hardware Driver (UHD) framework.&lt;br /&gt;
&lt;br /&gt;
==== Features ====&lt;br /&gt;
* Radio functionality&lt;br /&gt;
 ** 2 Transmit, 2 Receive&lt;br /&gt;
 ** Full duplex or half duplex&lt;br /&gt;
 ** Frequency range: 70 MHz to 6 GHz&lt;br /&gt;
 ** Baseband: 12-bit ADC/DAC&lt;br /&gt;
 ** Up to to 61.44 MS/s allows up to 56 MHz of real time bandwidth per channel&lt;br /&gt;
 ** Up to 32 MHz of real time bandwidth in 2x2 MIMO mode&lt;br /&gt;
* USB 3.0 interfaceFPGA – Spartan 6 XC6SLX75&lt;br /&gt;
 ** Up to 3.2Gb/s sustainable transfer rates&lt;br /&gt;
 ** Supports USB 2.0 controllers&lt;br /&gt;
* USRP Hardware Driver™ (UHD) compatible&lt;br /&gt;
* Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
Prototyping platform for Analog Devices AD9361 RFIC.&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/articles Related Articles and Conferences] ==&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/Code Code] ==&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/Experiments Experiments] ==&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=54</id>
		<title>Documentation</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Documentation&amp;diff=54"/>
				<updated>2016-06-14T08:29:31Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== SDR ==&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/articles Related Articles and Conferences] ==&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/Code Code] ==&lt;br /&gt;
&lt;br /&gt;
== [http://tsc.urjc.es/wikiOMICRON/index.php/Experiments Experiments] ==&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Project_OMICRON&amp;diff=53</id>
		<title>Project OMICRON</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Project_OMICRON&amp;diff=53"/>
				<updated>2016-06-13T10:41:32Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;To address the technological challenges posed by the digital society, contemporary communications systems and, in particular, Mobile Communications Networks (MCN) have became more flexible, involved and autonomous. This evolution has opened the door to more efficient transmission schemes and to better user’s experience. However, it has also rendered the design, management and operation of the network more difficult. Successful execution of those tasks requires a detailed modeling and analysis of the network and its terminals. It also calls for adopting up-to-date optimization tools. The scientific community has been aware of such needs and significant progress has been achieved, especially by incorporating optimization theory and distributed inference to the design of MCN. Research areas with major influence and contributions from these theories include cognitive radios, cross-layer design, sensor networks and heterogeneous networks. However, despite all those achievements, existing solutions still suffer from several weaknesses including: extremely simple network models, separate design of optimization and monitoring tasks, and suboptimal use of the Network State Information (NSI).&lt;br /&gt;
&lt;br /&gt;
This project aims to deal with such problems using a holistic approach. MCN are modelled as complex dynamic systems, where cognitive capabilities allow both nodes and controllers to make decisions about the network operation; and where optimization and monitoring are designed jointly (sharing objectives and considering the coupling between the two tasks) and robustly (considering the uncertainty and spatio-temporal variability of the NSI). The design of the schemes to operate the network will be accomplished by using contemporary tools in the fields of robust, stochastic and dynamic optimization, as well as distributed inference and network theory.&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Although the research will be primarily focused on the field of MCN, the results will be extended to other intelligent networks and, especially, to power networks and smart grids. Moreover, the theoretical findings will be complemented with the deployment of a ''software defined radio'' (SDR) platform. In addition to serve as a test-bed for the algorithms designed, the platform will be used to develop simplified schemes compatible with existing standards (4G and WiFi); hence, facilitating the technology transfer to the industry in the short term. Those additional objectives, together with the strong commitment to collaboration with foreign teams, will contribute not only to strengthen the scientific and socio-economic impact of the project, but also the group’s standing and interdisciplinary.&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=52</id>
		<title>Articles</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=52"/>
				<updated>2016-06-13T10:29:08Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* Conference */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Published Articles == &lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Cat&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Cognitive+Radios+with+Ergodic+Capacity+Guarantees+for+Primary+Users&amp;amp;btnG=&amp;amp;lr= Cognitive Radios with Ergodic Capacity Guarantees for Primary Users]  &lt;br /&gt;
| A. G. Marques, C. Figuera, E. Morgado, and J. Ramos&lt;br /&gt;
| 2012, June &lt;br /&gt;
| IEEE Trans. on Wireless Commun.&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals+through+Percolation+from+Seeding+Nodes&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals through Percolation from Seeding Nodes] &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, July &lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals+with+Successive+Local+Aggregations&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals with Successive Local Aggregations]&lt;br /&gt;
| A. G. Marques, S. Segarra, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=A+dual+IEEE+802.11+and+IEEE+802.15-4+network+architecture+for+energy-efficient+communications+with+low-demanding+applications&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A dual IEEE 802.11 and IEEE 802.15-4 network architecture for energy-efficient communications with low-demanding applications]&lt;br /&gt;
| I. Foche-Perez, J. Simo-Reigadas, I. Prieto-Egido, , E. Morgado, A. Martinez-Fernandez&lt;br /&gt;
| 2015, September&lt;br /&gt;
| Ad Hoc Networks&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Battery-Aware+Selective+Communications+in+Energy-Harvesting+Sensor+Networks%3A+A+Sequential+Decision+Approach&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Battery-Aware Selective Communications in Energy-Harvesting Sensor Networks: A Sequential Decision Approach]&lt;br /&gt;
| J. Fernandez-Bes, J. Cid-Sueiro, and A. G. Marques&lt;br /&gt;
| 2013, August&lt;br /&gt;
| IEEE J. Sel. Areas in Commun.&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Jointly+Optimal+Sensing+and+Resource+Allocation+for+Multiuser+Interweave+Cognitive+Radios&amp;amp;btnG=&amp;amp;lr= Jointly Optimal Sensing and Resource Allocation for Multiuser Interweave Cognitive Radios]&lt;br /&gt;
| L. M. Lopez-Ramos, A. G. Marques, and J. Ramos&lt;br /&gt;
| 2014, August&lt;br /&gt;
| IEEE Trans. on Wireless Commun&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Conferences ==&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Conference&lt;br /&gt;
! Material&lt;br /&gt;
|-&lt;br /&gt;
| Rethinking Sketching as Sampling: Linear Transforms of Graph Signals&lt;br /&gt;
| F. Gama, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA &lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Network+Topology+Identification+from+Imperfect+Spectral+Templates&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Network Topology Identification from Imperfect Spectral Templates]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| Space-Time Scheduling For Green Data Center Networks&lt;br /&gt;
| T. Chen, A. G. Marques, and G. B. Giannakis&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| SIGIBE: Solving Random Bilinear Equations via Gradient Descent with Spectral Initialization&lt;br /&gt;
| A. G. Marques, G. Mateos, and Y. Eldar&lt;br /&gt;
| 2016, September&lt;br /&gt;
| Proc. of European Signal Process. Conf., Budapest, Hungary&lt;br /&gt;
|-&lt;br /&gt;
| Stationary Graph Processes: Nonparametric Power Spectral Estimation &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2016, July&lt;br /&gt;
| Proc. of IEEE Sensor Array and Multichannel Signal Process. Wrksp., Rio de Janeiro, Brazil&lt;br /&gt;
|-&lt;br /&gt;
| Network Topology Identification from Spectral Templates&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, June&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Statistical Signal Process., Palma de Mallorca, Spain&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Blind+Identification+of+Graph+Filters+with+Multiple+Sparse+Inputs&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Blind Identification of Graph Filters with Multiple Sparse Inputs]&lt;br /&gt;
|  S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamgmar_icassp16_slides.pdf Slides]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Space-Shift+Sampling+of+Graph+Signals&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Space-Shift Sampling of Graph Signals]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamglar_icassp16_slides.pdf Slides]&lt;br /&gt;
|-&lt;br /&gt;
| [Linear Network Operators Using Node-Variant Graph Filters Linear Network Operators Using Node-Variant Graph Filters]&lt;br /&gt;
| S. Segarra, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamar_icassp16_slides.pdf Poster]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Blind+Identification+of+Graph+Filters+with+Sparse+Inputs&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Blind Identification of Graph Filters with Sparse Inputs]&lt;br /&gt;
| S. Segarra, G. Mateos, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Aggregation+Sampling+of+Graph+Signals+in+the+Presence+of+Noise&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Aggregation Sampling of Graph Signals in the Presence of Noise]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Microgrid+Dispatch+and+Price+of+Reliability+Using+Stochastic+Approximation&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Microgrid Dispatch and Price of Reliability Using Stochastic Approximation]&lt;br /&gt;
| L. M. Lopez-Ramos, V. Kekatos, A. G. Marques, and G. B. Giannakis&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE of Global Conf. on Signal and Info. Process., Orlando, FL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals%3A+Percolation+from+a+Single+Seeding+Node&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals: Percolation from a Single Seeding Node]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE of Global Conf. on Signal and Info. Process., Orlando, FL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals%3A+Successive+Local+Aggregations+at+a+Single+Node&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals: Successive Local Aggregations at a Single Node]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, November&lt;br /&gt;
| Proc. of 49th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| Distributed Implementation of Network Linear Operators using Graph Filters&lt;br /&gt;
| S. Segarra, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2015, September&lt;br /&gt;
| Proc. of 53rd Allerton Conf. on Commun. Control and Computing, Univ. of Illinois at U-C, Monticello, IL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Interpolation+of+Graph+Signals+Using+Shift-Invariant+Graph+Filters&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Interpolation of Graph Signals Using Shift-Invariant Graph Filters]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, August&lt;br /&gt;
| Proc. of European Signal Process. Conf., Nice, France&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=%22Underlay+Multi-Hop+Cognitive+Networks+with+Orthogonal+Access&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Underlay Multi-Hop Cognitive Networks with Orthogonal Access]&lt;br /&gt;
| A. G. Marques, S. Molinero and G. B. Giannakis&lt;br /&gt;
| 2015, June&lt;br /&gt;
| Proc. of IEEE CORAL 2015 at IEEE Intl. Symp. World of Wireless, Mobile and Multimedia Networks, Boston, USA&lt;br /&gt;
|-&lt;br /&gt;
|[https://scholar.google.es/scholar?q=A+Decomposition+Method+for+Optimal+User+Assignment+in+Cellular+Networks+with+Orthogonal+Transmissions&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A Decomposition Method for Optimal User Assignment in Cellular Networks with Orthogonal Transmissions]&lt;br /&gt;
| A. G. Marques, L. Cadarso, E. Morgado and C. Figuera&lt;br /&gt;
| 2015, April&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Brisbane, Australia&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=51</id>
		<title>Articles</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=51"/>
				<updated>2016-06-13T10:24:58Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* Conference */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Published Articles == &lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Cat&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Cognitive+Radios+with+Ergodic+Capacity+Guarantees+for+Primary+Users&amp;amp;btnG=&amp;amp;lr= Cognitive Radios with Ergodic Capacity Guarantees for Primary Users]  &lt;br /&gt;
| A. G. Marques, C. Figuera, E. Morgado, and J. Ramos&lt;br /&gt;
| 2012, June &lt;br /&gt;
| IEEE Trans. on Wireless Commun.&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals+through+Percolation+from+Seeding+Nodes&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals through Percolation from Seeding Nodes] &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, July &lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals+with+Successive+Local+Aggregations&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals with Successive Local Aggregations]&lt;br /&gt;
| A. G. Marques, S. Segarra, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=A+dual+IEEE+802.11+and+IEEE+802.15-4+network+architecture+for+energy-efficient+communications+with+low-demanding+applications&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A dual IEEE 802.11 and IEEE 802.15-4 network architecture for energy-efficient communications with low-demanding applications]&lt;br /&gt;
| I. Foche-Perez, J. Simo-Reigadas, I. Prieto-Egido, , E. Morgado, A. Martinez-Fernandez&lt;br /&gt;
| 2015, September&lt;br /&gt;
| Ad Hoc Networks&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Battery-Aware+Selective+Communications+in+Energy-Harvesting+Sensor+Networks%3A+A+Sequential+Decision+Approach&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Battery-Aware Selective Communications in Energy-Harvesting Sensor Networks: A Sequential Decision Approach]&lt;br /&gt;
| J. Fernandez-Bes, J. Cid-Sueiro, and A. G. Marques&lt;br /&gt;
| 2013, August&lt;br /&gt;
| IEEE J. Sel. Areas in Commun.&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Jointly+Optimal+Sensing+and+Resource+Allocation+for+Multiuser+Interweave+Cognitive+Radios&amp;amp;btnG=&amp;amp;lr= Jointly Optimal Sensing and Resource Allocation for Multiuser Interweave Cognitive Radios]&lt;br /&gt;
| L. M. Lopez-Ramos, A. G. Marques, and J. Ramos&lt;br /&gt;
| 2014, August&lt;br /&gt;
| IEEE Trans. on Wireless Commun&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Conference ==&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Conference&lt;br /&gt;
! Material&lt;br /&gt;
|-&lt;br /&gt;
| Rethinking Sketching as Sampling: Linear Transforms of Graph Signals&lt;br /&gt;
| F. Gama, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA &lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Network+Topology+Identification+from+Imperfect+Spectral+Templates&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Network Topology Identification from Imperfect Spectral Templates]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| Space-Time Scheduling For Green Data Center Networks&lt;br /&gt;
| T. Chen, A. G. Marques, and G. B. Giannakis&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| SIGIBE: Solving Random Bilinear Equations via Gradient Descent with Spectral Initialization&lt;br /&gt;
| A. G. Marques, G. Mateos, and Y. Eldar&lt;br /&gt;
| 2016, September&lt;br /&gt;
| Proc. of European Signal Process. Conf., Budapest, Hungary&lt;br /&gt;
|-&lt;br /&gt;
| Stationary Graph Processes: Nonparametric Power Spectral Estimation &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2016, July&lt;br /&gt;
| Proc. of IEEE Sensor Array and Multichannel Signal Process. Wrksp., Rio de Janeiro, Brazil&lt;br /&gt;
|-&lt;br /&gt;
| Network Topology Identification from Spectral Templates&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, June&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Statistical Signal Process., Palma de Mallorca, Spain&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Blind+Identification+of+Graph+Filters+with+Multiple+Sparse+Inputs&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Blind Identification of Graph Filters with Multiple Sparse Inputs]&lt;br /&gt;
|  S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamgmar_icassp16_slides.pdf Slides]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Space-Shift+Sampling+of+Graph+Signals&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Space-Shift Sampling of Graph Signals]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamglar_icassp16_slides.pdf Slides]&lt;br /&gt;
|-&lt;br /&gt;
| [Linear Network Operators Using Node-Variant Graph Filters Linear Network Operators Using Node-Variant Graph Filters]&lt;br /&gt;
| S. Segarra, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamar_icassp16_slides.pdf Poster]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Blind+Identification+of+Graph+Filters+with+Sparse+Inputs&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Blind Identification of Graph Filters with Sparse Inputs]&lt;br /&gt;
| S. Segarra, G. Mateos, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Aggregation+Sampling+of+Graph+Signals+in+the+Presence+of+Noise&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Aggregation Sampling of Graph Signals in the Presence of Noise]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Microgrid+Dispatch+and+Price+of+Reliability+Using+Stochastic+Approximation&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Microgrid Dispatch and Price of Reliability Using Stochastic Approximation]&lt;br /&gt;
| L. M. Lopez-Ramos, V. Kekatos, A. G. Marques, and G. B. Giannakis&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE of Global Conf. on Signal and Info. Process., Orlando, FL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals%3A+Percolation+from+a+Single+Seeding+Node&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals: Percolation from a Single Seeding Node]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE of Global Conf. on Signal and Info. Process., Orlando, FL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals%3A+Successive+Local+Aggregations+at+a+Single+Node&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals: Successive Local Aggregations at a Single Node]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, November&lt;br /&gt;
| Proc. of 49th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| Distributed Implementation of Network Linear Operators using Graph Filters&lt;br /&gt;
| S. Segarra, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2015, September&lt;br /&gt;
| Proc. of 53rd Allerton Conf. on Commun. Control and Computing, Univ. of Illinois at U-C, Monticello, IL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Interpolation+of+Graph+Signals+Using+Shift-Invariant+Graph+Filters&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Interpolation of Graph Signals Using Shift-Invariant Graph Filters]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, August&lt;br /&gt;
| Proc. of European Signal Process. Conf., Nice, France&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=%22Underlay+Multi-Hop+Cognitive+Networks+with+Orthogonal+Access&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Underlay Multi-Hop Cognitive Networks with Orthogonal Access]&lt;br /&gt;
| A. G. Marques, S. Molinero and G. B. Giannakis&lt;br /&gt;
| 2015, June&lt;br /&gt;
| Proc. of IEEE CORAL 2015 at IEEE Intl. Symp. World of Wireless, Mobile and Multimedia Networks, Boston, USA&lt;br /&gt;
|-&lt;br /&gt;
|[https://scholar.google.es/scholar?q=A+Decomposition+Method+for+Optimal+User+Assignment+in+Cellular+Networks+with+Orthogonal+Transmissions&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A Decomposition Method for Optimal User Assignment in Cellular Networks with Orthogonal Transmissions]&lt;br /&gt;
| A. G. Marques, L. Cadarso, E. Morgado and C. Figuera&lt;br /&gt;
| 2015, April&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Brisbane, Australia&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=50</id>
		<title>Articles</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=50"/>
				<updated>2016-06-13T10:22:51Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* Published Articles */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Published Articles == &lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Cat&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Cognitive+Radios+with+Ergodic+Capacity+Guarantees+for+Primary+Users&amp;amp;btnG=&amp;amp;lr= Cognitive Radios with Ergodic Capacity Guarantees for Primary Users]  &lt;br /&gt;
| A. G. Marques, C. Figuera, E. Morgado, and J. Ramos&lt;br /&gt;
| 2012, June &lt;br /&gt;
| IEEE Trans. on Wireless Commun.&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals+through+Percolation+from+Seeding+Nodes&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals through Percolation from Seeding Nodes] &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, July &lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals+with+Successive+Local+Aggregations&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals with Successive Local Aggregations]&lt;br /&gt;
| A. G. Marques, S. Segarra, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=A+dual+IEEE+802.11+and+IEEE+802.15-4+network+architecture+for+energy-efficient+communications+with+low-demanding+applications&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A dual IEEE 802.11 and IEEE 802.15-4 network architecture for energy-efficient communications with low-demanding applications]&lt;br /&gt;
| I. Foche-Perez, J. Simo-Reigadas, I. Prieto-Egido, , E. Morgado, A. Martinez-Fernandez&lt;br /&gt;
| 2015, September&lt;br /&gt;
| Ad Hoc Networks&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Battery-Aware+Selective+Communications+in+Energy-Harvesting+Sensor+Networks%3A+A+Sequential+Decision+Approach&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Battery-Aware Selective Communications in Energy-Harvesting Sensor Networks: A Sequential Decision Approach]&lt;br /&gt;
| J. Fernandez-Bes, J. Cid-Sueiro, and A. G. Marques&lt;br /&gt;
| 2013, August&lt;br /&gt;
| IEEE J. Sel. Areas in Commun.&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Jointly+Optimal+Sensing+and+Resource+Allocation+for+Multiuser+Interweave+Cognitive+Radios&amp;amp;btnG=&amp;amp;lr= Jointly Optimal Sensing and Resource Allocation for Multiuser Interweave Cognitive Radios]&lt;br /&gt;
| L. M. Lopez-Ramos, A. G. Marques, and J. Ramos&lt;br /&gt;
| 2014, August&lt;br /&gt;
| IEEE Trans. on Wireless Commun&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Conference ==&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Conference&lt;br /&gt;
! Material&lt;br /&gt;
|-&lt;br /&gt;
| Rethinking Sketching as Sampling: Linear Transforms of Graph Signals&lt;br /&gt;
| F. Gama, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA &lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Network+Topology+Identification+from+Imperfect+Spectral+Templates&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Network Topology Identification from Imperfect Spectral Templates]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| Space-Time Scheduling For Green Data Center Networks&lt;br /&gt;
| T. Chen, A. G. Marques, and G. B. Giannakis&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| SIGIBE: Solving Random Bilinear Equations via Gradient Descent with Spectral Initialization&lt;br /&gt;
| A. G. Marques, G. Mateos, and Y. Eldar&lt;br /&gt;
| 2016, September&lt;br /&gt;
| Proc. of European Signal Process. Conf., Budapest, Hungary&lt;br /&gt;
|-&lt;br /&gt;
| Stationary Graph Processes: Nonparametric Power Spectral Estimation &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2016, July&lt;br /&gt;
| Proc. of IEEE Sensor Array and Multichannel Signal Process. Wrksp., Rio de Janeiro, Brazil&lt;br /&gt;
|-&lt;br /&gt;
| Network Topology Identification from Spectral Templates&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, June&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Statistical Signal Process., Palma de Mallorca, Spain&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Blind+Identification+of+Graph+Filters+with+Multiple+Sparse+Inputs&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Blind Identification of Graph Filters with Multiple Sparse Inputs]&lt;br /&gt;
|  S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamgmar_icassp16_slides.pdf Slides]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Space-Shift+Sampling+of+Graph+Signals&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Space-Shift Sampling of Graph Signals]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamglar_icassp16_slides.pdf slides]&lt;br /&gt;
|-&lt;br /&gt;
| [Linear Network Operators Using Node-Variant Graph Filters Linear Network Operators Using Node-Variant Graph Filters]&lt;br /&gt;
| S. Segarra, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamar_icassp16_slides.pdf Poster]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Blind+Identification+of+Graph+Filters+with+Sparse+Inputs&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Blind Identification of Graph Filters with Sparse Inputs]&lt;br /&gt;
| S. Segarra, G. Mateos, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Aggregation+Sampling+of+Graph+Signals+in+the+Presence+of+Noise&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Aggregation Sampling of Graph Signals in the Presence of Noise]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Microgrid+Dispatch+and+Price+of+Reliability+Using+Stochastic+Approximation&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Microgrid Dispatch and Price of Reliability Using Stochastic Approximation]&lt;br /&gt;
| L. M. Lopez-Ramos, V. Kekatos, A. G. Marques, and G. B. Giannakis&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE of Global Conf. on Signal and Info. Process., Orlando, FL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals%3A+Percolation+from+a+Single+Seeding+Node&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals: Percolation from a Single Seeding Node]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE of Global Conf. on Signal and Info. Process., Orlando, FL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals%3A+Successive+Local+Aggregations+at+a+Single+Node&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals: Successive Local Aggregations at a Single Node]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, November&lt;br /&gt;
| Proc. of 49th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| Distributed Implementation of Network Linear Operators using Graph Filters&lt;br /&gt;
| S. Segarra, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2015, 30&lt;br /&gt;
| Proc. of 53rd Allerton Conf. on Commun. Control and Computing, Univ. of Illinois at U-C, Monticello, IL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Interpolation+of+Graph+Signals+Using+Shift-Invariant+Graph+Filters&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Interpolation of Graph Signals Using Shift-Invariant Graph Filters]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, August&lt;br /&gt;
| Proc. of European Signal Process. Conf., Nice, France&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=%22Underlay+Multi-Hop+Cognitive+Networks+with+Orthogonal+Access&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Underlay Multi-Hop Cognitive Networks with Orthogonal Access]&lt;br /&gt;
| A. G. Marques, S. Molinero and G. B. Giannakis&lt;br /&gt;
| 2015, June&lt;br /&gt;
| Proc. of IEEE CORAL 2015 at IEEE Intl. Symp. World of Wireless, Mobile and Multimedia Networks, Boston, USA&lt;br /&gt;
|-&lt;br /&gt;
|[https://scholar.google.es/scholar?q=A+Decomposition+Method+for+Optimal+User+Assignment+in+Cellular+Networks+with+Orthogonal+Transmissions&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A Decomposition Method for Optimal User Assignment in Cellular Networks with Orthogonal Transmissions]&lt;br /&gt;
| A. G. Marques, L. Cadarso, E. Morgado and C. Figuera&lt;br /&gt;
| 2015, April&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Brisbane, Australia&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=49</id>
		<title>Articles</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=49"/>
				<updated>2016-06-13T10:19:30Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Published Articles == &lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Cat&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Cognitive+Radios+with+Ergodic+Capacity+Guarantees+for+Primary+Users&amp;amp;btnG=&amp;amp;lr= Cognitive Radios with Ergodic Capacity Guarantees for Primary Users]  &lt;br /&gt;
| A. G. Marques, C. Figuera, E. Morgado, and J. Ramos&lt;br /&gt;
| 2012, June &lt;br /&gt;
| IEEE Trans. on Wireless Commun.&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals+through+Percolation+from+Seeding+Nodes&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals through Percolation from Seeding Nodes] &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, July &lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals+with+Successive+Local+Aggregations&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals with Successive Local Aggregations]&lt;br /&gt;
| A. G. Marques, S. Segarra, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=A+dual+IEEE+802.11+and+IEEE+802.15-4+network+architecture+for+energy-efficient+communications+with+low-demanding+applications&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A dual IEEE 802.11 and IEEE 802.15-4 network architecture for energy-efficient communications with low-demanding applications]&lt;br /&gt;
| I. Foche-Perez, J. Simo-Reigadas, I. Prieto-Egido, , E. Morgado, A. Martinez-Fernandez&lt;br /&gt;
| 20165, September&lt;br /&gt;
| Ad Hoc Networks&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Battery-Aware+Selective+Communications+in+Energy-Harvesting+Sensor+Networks%3A+A+Sequential+Decision+Approach&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Battery-Aware Selective Communications in Energy-Harvesting Sensor Networks: A Sequential Decision Approach]&lt;br /&gt;
| J. Fernandez-Bes, J. Cid-Sueiro, and A. G. Marques&lt;br /&gt;
| 2013, August&lt;br /&gt;
| IEEE J. Sel. Areas in Commun.&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Jointly+Optimal+Sensing+and+Resource+Allocation+for+Multiuser+Interweave+Cognitive+Radios&amp;amp;btnG=&amp;amp;lr= Jointly Optimal Sensing and Resource Allocation for Multiuser Interweave Cognitive Radios]&lt;br /&gt;
| L. M. Lopez-Ramos, A. G. Marques, and J. Ramos&lt;br /&gt;
| 2014, August&lt;br /&gt;
| IEEE Trans. on Wireless Commun&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Conference ==&lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Conference&lt;br /&gt;
! Material&lt;br /&gt;
|-&lt;br /&gt;
| Rethinking Sketching as Sampling: Linear Transforms of Graph Signals&lt;br /&gt;
| F. Gama, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA &lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Network+Topology+Identification+from+Imperfect+Spectral+Templates&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Network Topology Identification from Imperfect Spectral Templates]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| Space-Time Scheduling For Green Data Center Networks&lt;br /&gt;
| T. Chen, A. G. Marques, and G. B. Giannakis&lt;br /&gt;
| 2016, November&lt;br /&gt;
| Proc. of 50th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| SIGIBE: Solving Random Bilinear Equations via Gradient Descent with Spectral Initialization&lt;br /&gt;
| A. G. Marques, G. Mateos, and Y. Eldar&lt;br /&gt;
| 2016, September&lt;br /&gt;
| Proc. of European Signal Process. Conf., Budapest, Hungary&lt;br /&gt;
|-&lt;br /&gt;
| Stationary Graph Processes: Nonparametric Power Spectral Estimation &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2016, July&lt;br /&gt;
| Proc. of IEEE Sensor Array and Multichannel Signal Process. Wrksp., Rio de Janeiro, Brazil&lt;br /&gt;
|-&lt;br /&gt;
| Network Topology Identification from Spectral Templates&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, June&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Statistical Signal Process., Palma de Mallorca, Spain&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Blind+Identification+of+Graph+Filters+with+Multiple+Sparse+Inputs&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Blind Identification of Graph Filters with Multiple Sparse Inputs]&lt;br /&gt;
|  S. Segarra, A. G. Marques, G. Mateos, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamgmar_icassp16_slides.pdf Slides]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Space-Shift+Sampling+of+Graph+Signals&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Space-Shift Sampling of Graph Signals]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamglar_icassp16_slides.pdf slides]&lt;br /&gt;
|-&lt;br /&gt;
| [Linear Network Operators Using Node-Variant Graph Filters Linear Network Operators Using Node-Variant Graph Filters]&lt;br /&gt;
| S. Segarra, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2016, March&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Shanghai, China&lt;br /&gt;
| [http://tsc.urjc.es/~amarques/papers/ssamar_icassp16_slides.pdf Poster]&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Blind+Identification+of+Graph+Filters+with+Sparse+Inputs&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Blind Identification of Graph Filters with Sparse Inputs]&lt;br /&gt;
| S. Segarra, G. Mateos, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Aggregation+Sampling+of+Graph+Signals+in+the+Presence+of+Noise&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Aggregation Sampling of Graph Signals in the Presence of Noise]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE Intl. Wrksp. on Computational Advances in Multi-Sensor Adaptive Processing, Cancun, Mexico&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Microgrid+Dispatch+and+Price+of+Reliability+Using+Stochastic+Approximation&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Microgrid Dispatch and Price of Reliability Using Stochastic Approximation]&lt;br /&gt;
| L. M. Lopez-Ramos, V. Kekatos, A. G. Marques, and G. B. Giannakis&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE of Global Conf. on Signal and Info. Process., Orlando, FL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals%3A+Percolation+from+a+Single+Seeding+Node&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals: Percolation from a Single Seeding Node]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| Proc. of IEEE of Global Conf. on Signal and Info. Process., Orlando, FL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals%3A+Successive+Local+Aggregations+at+a+Single+Node&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals: Successive Local Aggregations at a Single Node]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, November&lt;br /&gt;
| Proc. of 49th Asilomar Conf. on Signals, Systems, and Computers, Pacific Grove, CA&lt;br /&gt;
|-&lt;br /&gt;
| Distributed Implementation of Network Linear Operators using Graph Filters&lt;br /&gt;
| S. Segarra, A. G. Marques, and A. Ribeiro&lt;br /&gt;
| 2015, 30&lt;br /&gt;
| Proc. of 53rd Allerton Conf. on Commun. Control and Computing, Univ. of Illinois at U-C, Monticello, IL&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Interpolation+of+Graph+Signals+Using+Shift-Invariant+Graph+Filters&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Interpolation of Graph Signals Using Shift-Invariant Graph Filters]&lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, August&lt;br /&gt;
| Proc. of European Signal Process. Conf., Nice, France&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=%22Underlay+Multi-Hop+Cognitive+Networks+with+Orthogonal+Access&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Underlay Multi-Hop Cognitive Networks with Orthogonal Access]&lt;br /&gt;
| A. G. Marques, S. Molinero and G. B. Giannakis&lt;br /&gt;
| 2015, June&lt;br /&gt;
| Proc. of IEEE CORAL 2015 at IEEE Intl. Symp. World of Wireless, Mobile and Multimedia Networks, Boston, USA&lt;br /&gt;
|-&lt;br /&gt;
|[https://scholar.google.es/scholar?q=A+Decomposition+Method+for+Optimal+User+Assignment+in+Cellular+Networks+with+Orthogonal+Transmissions&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A Decomposition Method for Optimal User Assignment in Cellular Networks with Orthogonal Transmissions]&lt;br /&gt;
| A. G. Marques, L. Cadarso, E. Morgado and C. Figuera&lt;br /&gt;
| 2015, April&lt;br /&gt;
| Proc. of IEEE Intl. Conf. on Acoustics, Speech and Signal Process., Brisbane, Australia&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=48</id>
		<title>Articles</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=48"/>
				<updated>2016-06-13T09:16:39Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* Published Articles */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Published Articles == &lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Cat&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Cognitive+Radios+with+Ergodic+Capacity+Guarantees+for+Primary+Users&amp;amp;btnG=&amp;amp;lr= Cognitive Radios with Ergodic Capacity Guarantees for Primary Users]  &lt;br /&gt;
| A. G. Marques, C. Figuera, E. Morgado, and J. Ramos&lt;br /&gt;
| 2012, June &lt;br /&gt;
| IEEE Trans. on Wireless Commun&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals+through+Percolation+from+Seeding+Nodes&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals through Percolation from Seeding Nodes] &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, July &lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals+with+Successive+Local+Aggregations&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals with Successive Local Aggregations]&lt;br /&gt;
| A. G. Marques, S. Segarra, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, December&lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=A+dual+IEEE+802.11+and+IEEE+802.15-4+network+architecture+for+energy-efficient+communications+with+low-demanding+applications&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A dual IEEE 802.11 and IEEE 802.15-4 network architecture for energy-efficient communications with low-demanding applications]&lt;br /&gt;
| I. Foche-Perez, J. Simo-Reigadas, I. Prieto-Egido, , E. Morgado, A. Martinez-Fernandez&lt;br /&gt;
| 20165, September&lt;br /&gt;
| Ad Hoc Networks&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Battery-Aware+Selective+Communications+in+Energy-Harvesting+Sensor+Networks%3A+A+Sequential+Decision+Approach&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Battery-Aware Selective Communications in Energy-Harvesting Sensor Networks: A Sequential Decision Approach]&lt;br /&gt;
| J. Fernandez-Bes, J. Cid-Sueiro, and A. G. Marques&lt;br /&gt;
| 2013, August&lt;br /&gt;
| IEEE J. Sel. Areas in Commun., vol. 33, no. 8, pp. 1717-1729&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Jointly+Optimal+Sensing+and+Resource+Allocation+for+Multiuser+Interweave+Cognitive+Radios&amp;amp;btnG=&amp;amp;lr= Jointly Optimal Sensing and Resource Allocation for Multiuser Interweave Cognitive Radios]&lt;br /&gt;
| L. M. Lopez-Ramos, A. G. Marques, and J. Ramos&lt;br /&gt;
| 2014, August&lt;br /&gt;
| IEEE Trans. on Wireless Commun&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Conference ==&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	<entry>
		<id>http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=47</id>
		<title>Articles</title>
		<link rel="alternate" type="text/html" href="http://tsc.urjc.es/wikiOMICRON/index.php?title=Articles&amp;diff=47"/>
				<updated>2016-06-13T09:15:44Z</updated>
		
		<summary type="html">&lt;p&gt;Omicronadmin: /* Published Articles */&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;== Published Articles == &lt;br /&gt;
{| class=&amp;quot;wikitable sortable&amp;quot;&lt;br /&gt;
|-&lt;br /&gt;
! Title   &lt;br /&gt;
! Authors &lt;br /&gt;
! Date&lt;br /&gt;
! Cat&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Cognitive+Radios+with+Ergodic+Capacity+Guarantees+for+Primary+Users&amp;amp;btnG=&amp;amp;lr= Cognitive Radios with Ergodic Capacity Guarantees for Primary Users]  &lt;br /&gt;
| A. G. Marques, C. Figuera, E. Morgado, and J. Ramos&lt;br /&gt;
| 2012, June &lt;br /&gt;
| IEEE Trans. on Wireless Commun&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Reconstruction+of+Graph+Signals+through+Percolation+from+Seeding+Nodes&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Reconstruction of Graph Signals through Percolation from Seeding Nodes] &lt;br /&gt;
| S. Segarra, A. G. Marques, G. Leus, and A. Ribeiro&lt;br /&gt;
| 2015, July &lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Sampling+of+Graph+Signals+with+Successive+Local+Aggregations&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Sampling of Graph Signals with Successive Local Aggregations]&lt;br /&gt;
| A. G. Marques, S. Segarra, G. Leus, and A. Ribeiro&lt;br /&gt;
| IEEE Trans. on Signal Process&lt;br /&gt;
| 2015, December&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=A+dual+IEEE+802.11+and+IEEE+802.15-4+network+architecture+for+energy-efficient+communications+with+low-demanding+applications&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 A dual IEEE 802.11 and IEEE 802.15-4 network architecture for energy-efficient communications with low-demanding applications]&lt;br /&gt;
| I. Foche-Perez, J. Simo-Reigadas, I. Prieto-Egido, , E. Morgado, A. Martinez-Fernandez&lt;br /&gt;
| 20165, September&lt;br /&gt;
| Ad Hoc Networks&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?q=Battery-Aware+Selective+Communications+in+Energy-Harvesting+Sensor+Networks%3A+A+Sequential+Decision+Approach&amp;amp;btnG=&amp;amp;hl=es&amp;amp;as_sdt=0%2C5 Battery-Aware Selective Communications in Energy-Harvesting Sensor Networks: A Sequential Decision Approach]&lt;br /&gt;
| J. Fernandez-Bes, J. Cid-Sueiro, and A. G. Marques&lt;br /&gt;
| 2013, August&lt;br /&gt;
| IEEE J. Sel. Areas in Commun., vol. 33, no. 8, pp. 1717-1729&lt;br /&gt;
|-&lt;br /&gt;
| [https://scholar.google.es/scholar?hl=es&amp;amp;q=Jointly+Optimal+Sensing+and+Resource+Allocation+for+Multiuser+Interweave+Cognitive+Radios&amp;amp;btnG=&amp;amp;lr= Jointly Optimal Sensing and Resource Allocation for Multiuser Interweave Cognitive Radios]&lt;br /&gt;
| L. M. Lopez-Ramos, A. G. Marques, and J. Ramos&lt;br /&gt;
| 2014, August&lt;br /&gt;
| IEEE Trans. on Wireless Commun&lt;br /&gt;
|-&lt;br /&gt;
|}&lt;br /&gt;
&lt;br /&gt;
== Conference ==&lt;/div&gt;</summary>
		<author><name>Omicronadmin</name></author>	</entry>

	</feed>