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

Abstract : 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.
Type de document :
Article dans une revue
EURASIP Journal on Wireless Communications and Networking, SpringerOpen, 2010, 2010 (1), pp.391684. 〈10.1155/2010/391684〉
Liste complète des métadonnées

Littérature citée [19 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-00784439
Contributeur : Ed. Bmc <>
Soumis le : lundi 4 février 2013 - 13:09:48
Dernière modification le : jeudi 11 janvier 2018 - 16:58:02
Document(s) archivé(s) le : lundi 17 juin 2013 - 18:45:29

Identifiants

Citation

Gaoning He, Mérouane Debbah, Eitan Altman. A Bayesian Game-Theoretic Approach for Distributed Resource Allocation in Fading Multiple Access Channels. EURASIP Journal on Wireless Communications and Networking, SpringerOpen, 2010, 2010 (1), pp.391684. 〈10.1155/2010/391684〉. 〈hal-00784439〉

Partager

Métriques

Consultations de la notice

155

Téléchargements de fichiers

202