A Bayesian Game-Theoretic Approach for Distributed Resource Allocation in Fading Multiple Access Channels

A Bayesian game-theoretic model is developed to design and analyze the resource allocation problem in -user fading multiple access channels (MACs), where the users are assumed to selfishly maximize their average achievable rates with incomplete information about the fading channel gains. In such a g...

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Bibliographic Details
Published in:EURASIP journal on wireless communications and networking 2010-01, Vol.2010 (1), Article 391684
Main Authors: He, Gaoning, Debbah, Mérouane, Altman, Eitan
Format: Article
Language:English
Subjects:
Bayesian analysis
Channels
Communications Engineering
Computer Science
Engineering
Fading
Femtocell Networks
Game theory
Information Systems Applications (incl.Internet)
Multiple access
Networks
Research Article
Resource allocation
Signal,Image and Speech Processing
Strategy
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Summary:A Bayesian game-theoretic model is developed to design and analyze the resource allocation problem in -user fading multiple access channels (MACs), where the users are assumed to selfishly maximize their average achievable rates with incomplete information about the fading channel gains. In such a game-theoretic study, the central question is whether a Bayesian equilibrium exists, and if so, whether the network operates efficiently at the equilibrium point. We prove that there exists exactly one Bayesian equilibrium in our game. Furthermore, we study the network sum-rate maximization problem by assuming that the users coordinate according to a symmetric strategy profile. This result also serves as an upper bound for the Bayesian equilibrium. Finally, simulation results are provided to show the network efficiency at the unique Bayesian equilibrium and to compare it with other strategies.
ISSN:1687-1499
1687-1472
1687-1499
DOI:10.1155/2010/391684