Project OMICRON - Revision history

Antonio.garcia.marques at 15:08, 7 April 2017

2017-04-07T15:08:46Z

Antonio.garcia.marques at 14:55, 7 April 2017

2017-04-07T14:55:00Z

Antonio.garcia.marques at 14:53, 7 April 2017

2017-04-07T14:53:15Z

Cricab at 16:11, 31 July 2016

2016-07-31T16:11:54Z

Cricab at 16:06, 31 July 2016

2016-07-31T16:06:06Z

Omicronadmin at 09:15, 27 June 2016

2016-06-27T09:15:25Z

Omicronadmin at 10:41, 13 June 2016

2016-06-13T10:41:32Z

Omicronadmin at 10:10, 7 June 2016

2016-06-07T10:10:26Z

Omicronadmin: Omicronadmin moved page Main Page to Project OMICRON

2016-06-07T10:10:02Z

Omicronadmin moved page Main Page to Project OMICRON

Omicronadmin: Main page created

2016-06-07T10:08:56Z

Main page created

← Older revision		Revision as of 15:08, 7 April 2017
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−	''The OMICRON project has been supported by the Spanish Government: Ministerio de Ecomomía y Competividad - ~~Inicio~~ Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 - Programa Estatal de I+D+i Orientada a los Retos de la Sociedad - Grant number: TECTEC2013-41604-R.''	+	''The OMICRON project has been supported by the Spanish Government: Ministerio de Ecomomía y Competividad - Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 - Programa Estatal de I+D+i Orientada a los Retos de la Sociedad - Grant number: TECTEC2013-41604-R.''

← Older revision		Revision as of 14:55, 7 April 2017
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−	The OMICRON project has been supported by the Spanish Government: Ministerio de Ecomomía y Competividad - Inicio Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 - Programa Estatal de I+D+i Orientada a los Retos de la Sociedad - Grant number: TECTEC2013-41604-R.	+	''The OMICRON project has been supported by the Spanish Government: Ministerio de Ecomomía y Competividad - Inicio Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 - Programa Estatal de I+D+i Orientada a los Retos de la Sociedad - Grant number: TECTEC2013-41604-R.''

← Older revision		Revision as of 14:53, 7 April 2017
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	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 designed algorithms, 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 collaborate 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 its interdisciplinary nature.		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 designed algorithms, 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 collaborate 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 its interdisciplinary nature.
		+
		+
		+	The OMICRON project has been supported by the Spanish Government: Ministerio de Ecomomía y Competividad - Inicio Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 - Programa Estatal de I+D+i Orientada a los Retos de la Sociedad - Grant number: TECTEC2013-41604-R.

← Older revision		Revision as of 16:11, 31 July 2016
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	<img width="600" src='http://tsc.urjc.es/wikiOMICRON/images/imagenOmicron.png'>		<img width="600" src='http://tsc.urjc.es/wikiOMICRON/images/imagenOmicron.png'>

−	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 designed algorithms, 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 its interdisciplinary nature.	+	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 designed algorithms, 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 collaborate 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 its interdisciplinary nature.

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-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).
+Contemporary communications systems and, in particular, Mobile Communications Networks (MCN) have became more flexible, involved and autonomous in order to address the technological challenges posed by the digital society. This evolution has opened the door to more efficient transmission schemes and to better user’s experience. However, it has also made 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).
 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.
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 <img width="600" src='http://tsc.urjc.es/wikiOMICRON/images/imagenOmicron.png'>
-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.
+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 designed algorithms, 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 its interdisciplinary nature.

← Older revision		Revision as of 09:15, 27 June 2016
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	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.		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.

		+	<img width="600" src='http://tsc.urjc.es/wikiOMICRON/images/imagenOmicron.png'>

	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.		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.

← Older revision		Revision as of 10:10, 7 June 2016
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−	~~<h1> Project OMICRON </h1>~~
−
	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).		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).

← Older revision	Revision as of 10:10, 7 June 2016
(No difference)

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 <h1> Project OMICRON </h1>
-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).
+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).
-To accomplish the proposed goals, three specific objectives are considered: O1) design of robust resource allocation schemes that, taking into account the operation of the monitoring schemes and the NSI imperfections, optimize the quality of service of the network; O2) design of sensing and monitoring algorithms that, based on noisy local observations, draw the relevant NSI for the resource allocation; and O3) joint design of the algorithms for resource allocation and monitoring, with particular emphasis on the development of stochastic solutions of moderate complexity and distributed nature (scalable, robust to errors, and with low signaling exchange).
+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.
-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 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 Wi-Fi); 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 interdisciplinarity.