Auction-based resource allocation for hierarchical wireless mesh networks in rural areas
Proceedings of the 4th ACM workshop on Challenged networks
EURASIP Journal on Advances in Signal Processing - Special issue on game theory in signal processing and communications
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IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Distributed power allocation in multi-user multi-channel cellular relay networks
IEEE Transactions on Wireless Communications
Cooperative ARQ via auction-based spectrum leasing
IEEE Transactions on Communications
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SSIP '09/MIV'09 Proceedings of the 9th WSEAS international conference on signal, speech and image processing, and 9th WSEAS international conference on Multimedia, internet & video technologies
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International Journal of Automation and Computing
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Future Generation Computer Systems
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Computer Communications
Bandwidth allocation for cooperative relay networks based on Nash bargaining solution
International Journal of Communication Systems
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ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
Wireless Personal Communications: An International Journal
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IEEE/ACM Transactions on Networking (TON)
Wireless Personal Communications: An International Journal
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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.