A Bayesian Game-Theoretic Approach for Distributed Resource Allocation in Fading Multiple Access Channels. (26th April 2010)

• Record Type: Journal Article
• Authors: He He, Gaoning Gaoning; Debbah Debbah, Mérouane Mérouane; Altman Altman, Eitan Eitan
• Other Names: Oyman Oyman Ozgur Ozgur Academic Editor.
• Is Part Of: EURASIP journal on wireless communications and networking. Volume 2010(2010)
• Publication Date: 2010-04-26
• Subjects: Wireless communication systems -- Periodicals; Signal processing -- Periodicals; 621.38405
• DOI: 10.1155/2010/391684
• Languages: English
• ISSNs: 1687-1499

Abstract

Abstract : A Bayesian game-theoretic model is developed to design and analyze the resource allocation problem in K -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.