Title
Opportunistic multichannel access with decentralized channel state information.
Abstract
This paper considers multiaccess control for the uplink in orthogonal frequency division multiple access wireless networks. To avoid the extensive information exchange associated with centralized approaches, we formulate the decentralized access control problem with the contention power constraint as a Bayesian game, mapping time‐varying channel state information into contention strategies. By exploiting the problem structure, a strategy where users access the channels with probability one if the observed channel gain is above a predetermined threshold is shown to be optimal. It is also shown that the energy consumption of the threshold strategy will not exceed that of randomized strategies. The game is then equivalently reformulated as one of finding the threshold value in a distributed manner, and the existence and uniqueness of Bayesian Nash equilibria is established. A distributed algorithm based on Lagrange duality is proposed to approach the unique equilibrium, and the algorithm is shown to be globally stable. In a homogeneous system, the performance loss of the proposed scheme is proved to be bounded compared with a centralized channel allocation scheme. Contrary to other proposals, our method allows for heterogeneous channel state information and achieves a comparable throughput with reduced power. Copyright © 2013 John Wiley & Sons, Ltd.
Year
DOI
Venue
2015
10.1002/wcm.2348
Wireless Communications and Mobile Computing
Keywords
Field
DocType
distributed multiaccess control,channel state information,fading channel,game theory
Computer science,Computer network,Communication channel,Orthogonal frequency-division multiple access,Distributed algorithm,Bayesian game,Nash equilibrium,Channel allocation schemes,Precoding,Distributed computing,Channel state information
Journal
Volume
Issue
ISSN
15
2
1530-8669
Citations 
PageRank 
References 
2
0.37
1
Authors
5
Name
Order
Citations
PageRank
Bo Yang136140.37
Yanyan Shen245749.77
mikael johansson31612147.94
Cai-Lian Chen483198.98
Xinping Guan52791253.38