Mean field games for cognitive radio networks

Hamidou Tembine, Raul Tempone, Pedro Vilanova

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

13 Scopus citations


In this paper we study mobility effect and power saving in cognitive radio networks using mean field games. We consider two types of users: primary and secondary users. When active, each secondary transmitter-receiver uses carrier sensing and is subject to long-term energy constraint. We formulate the interaction between primary user and large number of secondary users as an hierarchical mean field game. In contrast to the classical large-scale approaches based on stochastic geometry, percolation theory and large random matrices, the proposed mean field framework allows one to describe the evolution of the density distribution and the associated performance metrics using coupled partial differential equations. We provide explicit formulas and algorithmic power management for both primary and secondary users. A complete characterization of the optimal distribution of energy and probability of success is given.
Original languageEnglish (US)
Title of host publication2012 American Control Conference (ACC)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781457710957
StatePublished - Jun 2012

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01


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