DocumentCode
842355
Title
Auction-Based Resource Allocation for Cooperative Communications
Author
Huang, Jianwei ; Han, Zhu ; Chiang, Mung ; Poor, H. Vincent
Author_Institution
Dept. of Inf. Eng., Chinese Univ. of Hong Kong, Hong Kong
Volume
26
Issue
7
fYear
2008
fDate
9/1/2008 12:00:00 AM
Firstpage
1226
Lastpage
1237
Abstract
Distributed and efficient resource allocation is critical for fully realizing the benefits of cooperative communications in large scale communication networks. This paper proposes two auction mechanisms, the SNR auction and the power auction, that determine relay selection and relay power allocation in a distributed fashion. A single-relay network is considered first, and the existence and uniqueness of the Nash Equilibrium (i.e., the auction´s outcome) are proved. It is shown that the power auction achieves the efficient allocation by maximizing the total rate increase, and the SNR auction is flexible in trading off fairness and efficiency. For both auctions, the distributed best response bid updates globally converge to the unique Nash Equilibrium in a completely asynchronous manner. The analysis is then generalized to networks with multiple relays, and the existence of the Nash Equilibrium is shown under appropriate conditions. Simulation results verify the effectiveness and robustness of the proposed algorithms.
Keywords
decision theory; game theory; radio networks; resource allocation; Nash equilibrium; SNR auction; auction-based resource allocation; cooperative communication; distributed best response bid; game theory; large-scale communication network; multiple relay network; power auction; relay power allocation; relay selection; single-relay network; wireless network; Antenna theory; Communication networks; Large-scale systems; Nash equilibrium; Power control; Protocols; Relays; Resource management; Signal processing algorithms; Wireless sensor networks; Cooperative communications; auction theory; game theory; resource allocation; wireless networks;
fLanguage
English
Journal_Title
Selected Areas in Communications, IEEE Journal on
Publisher
ieee
ISSN
0733-8716
Type
jour
DOI
10.1109/JSAC.2008.080919
Filename
4604747
Link To Document