Joint power control-allocation for green cognitive wireless networks using mean field theory

Hamidou Tembine, Samson Lasaulce, Marc Jungers

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this paper is to show how key concepts from control theory, game theory, and mean field theory can be exploited to design joint control-allocation policies in cognitive wireless networks. One of the key features of the proposed approach is that transmitters (which are assumed to be cognitive and autonomous decisionnally speaking) have a certain knowledge of the channel evolution law and want to reach a certain transmission rate target while minimizing the energy consumed by the power supply and not the one corresponding to radio-frequency signals (which is known to be important to design green wireless networks). The optimal centralized policy is derived in order to have an upper bound on the performance of the decentralized system. Then, the Nash equilibrium of the cognitive network is determined by using recent results from mean field theory (MFT). In order to evaluate the performance gap between decentralized and centralized policies we introduce and evaluate the MFT-based asymptotic price of anarchy (APoA).

Original languageEnglish (US)
Title of host publication2010 Proceedings of the 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCom 2010
DOIs
StatePublished - 2010
Event2010 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCom 2010 - Cannes, France
Duration: Jun 9 2010Jun 11 2010

Publication series

Name2010 Proceedings of the 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCom 2010

Other

Other2010 5th International Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCom 2010
CountryFrance
CityCannes
Period6/9/106/11/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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