Load Balancing in Distributed Systems: An Approach Using Cooperative Games
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
IEEE Transactions on Wireless Communications
A game-theoretic analysis of decode-and-forward user cooperation
IEEE Transactions on Wireless Communications - Part 2
Cooperative diversity in wireless networks: Efficient protocols and outage behavior
IEEE Transactions on Information Theory
Capacity bounds and power allocation for wireless relay channels
IEEE Transactions on Information Theory
Cooperative networks for the future wireless world
IEEE Communications Magazine
Relay-based deployment concepts for wireless and mobile broadband radio
IEEE Communications Magazine
Pricing for enabling forwarding in self-configuring ad hoc networks
IEEE Journal on Selected Areas in Communications
Bandwidth allocation for cooperative relay networks based on Nash bargaining solution
International Journal of Communication Systems
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This paper proposes a user cooperation stimulating strategy among rational users. The strategy is based on cooperative game theory and enacted in the context of cooperative relay networks. Using the pricing-based mechanism, the system is modeled initially with two nodes and a Base Station (BS). Within this framework, each node is treated as a rational decision maker. To this end, each node can decide whether to cooperate and how to cooperate. Cooperative game theory assists in providing an optimal system utility and provides fairness among users. Under different cooperative forwarding modes, certain questions are carefully investigated, including "what is each node's best reaction to maximize its utility?" and "what is the optimal reimbursement to encourage cooperation?" Simulation results show that the nodes benefit from the proposed cooperation stimulating strategy in terms of utility and thus justify the fairness between each user.