Difference between revisions of "Objectives"

 
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The main objective of this project is the design of Resource Allocation (RA) schemas, sensing and monitoring, of robust, smart and partially distributed character. This schemas 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 colaboration between the devices of the network. The initial hypothesis is that if the schemas 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 schemas will have less signalling and coordination cost and they will be compatible with the architectures and topologies considered for the next generation MCN.   
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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.   
  
  
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:
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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:
 +
 
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<img id='objectivesSchema' width="600" src='http://tsc.urjc.es/wikiOMICRON/images/objectives.png' style='float: right'>
  
 
<ol>
 
<ol>
<li> Robust RA in smart MCN.
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<li>
 +
Robust RA in smart MCN.
 
* RA in smart MCN with imperfect NSI.
 
* RA in smart MCN with imperfect NSI.
 
* Robust optimization in MCNs.
 
* Robust optimization in MCNs.
 
</li>
 
</li>
<li> Robust sensing and monitoring for smart MCN.</li>
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<br/>
<li> Global designs for optimization and monitoring in smart MCN.</li>
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<li>
<li> Robust optimization and monitoring in other smart networks.</li>
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Robust sensing and monitoring for smart MCN.
<li> Implementation in real MCN.</li>
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* Sensing and monitoring
 +
* Distributed inference in smart MCN.
 +
</li>
 +
<br/>
 +
<li>
 +
Global designs for optimization and monitoring in smart MCN.
 +
* Optimum design for RA and joint monitoring in MCN.
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* Distributed, stochastic and robust implementations.
 +
</li>
 +
<br/>
 +
<li>
 +
Robust optimization and monitoring in other smart networks.
 +
*Robust optimization and monitoring in Smart Grids (SG).
 +
</li>
 +
<br/>
 +
<li>
 +
Implementation in real MCN.
 +
* Deployment of a SDR platform.
 +
* Algorithms for QoS in WiFi networks.
 +
* Algorithms for QoS in LTE-A networks.
 +
* Implementation of algorithms in SDR platform.
 +
</li>
 
</ol>
 
</ol>
 
 
Cada uno de los 5 OG mencionados se divide en objetivos específicos (OE) que permiten una mejor organización del proyecto:
 
 
OE1.1 AR en RCM inteligentes con IER imperfecta
 
OE1.2 Optimización robusta en RCM
 
 
OE2.1 Sensado y monitorización
 
OE2.2 Inferencia distribuida en RCM inteligentes
 
 
OE3.1 Diseños óptimos para AR y monitorización conjunta en RCM
 
OE3.2 Implementaciones distribuidas, estocásticas y robustas
 
 
OE4.1 Optimización y monitorización robusta en SG
 
 
OE5.1 Despliegue de una plataforma SDR
 
OE5.2 Algoritmos para QoS en redes Wi-Fi
 
OE5.3 Algoritmos para QoS en redes LTE-A.
 
OE5.4 Implementación de algoritmos en plataforma SDR
 

Latest revision as of 11:33, 28 June 2016

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.


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:

  1. Robust RA in smart MCN.
    • RA in smart MCN with imperfect NSI.
    • Robust optimization in MCNs.

  2. Robust sensing and monitoring for smart MCN.
    • Sensing and monitoring
    • Distributed inference in smart MCN.

  3. Global designs for optimization and monitoring in smart MCN.
    • Optimum design for RA and joint monitoring in MCN.
    • Distributed, stochastic and robust implementations.

  4. Robust optimization and monitoring in other smart networks.
    • Robust optimization and monitoring in Smart Grids (SG).

  5. Implementation in real MCN.
    • Deployment of a SDR platform.
    • Algorithms for QoS in WiFi networks.
    • Algorithms for QoS in LTE-A networks.
    • Implementation of algorithms in SDR platform.