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 |
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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 Yang | 1 | 361 | 40.37 |
Yanyan Shen | 2 | 457 | 49.77 |
mikael johansson | 3 | 1612 | 147.94 |
Cai-Lian Chen | 4 | 831 | 98.98 |
Xinping Guan | 5 | 2791 | 253.38 |