Making greed work in networks: a game-theoretic analysis of switch service disciplines
IEEE/ACM Transactions on Networking (TON)
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IEEE Transactions on Information Theory
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PROMS 2001 Proceedings of the 6th International Conference on Protocols for Multimedia Systems
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NETWORKING '02 Proceedings of the Second International IFIP-TC6 Networking Conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications
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NETWORKING '02 Proceedings of the Second International IFIP-TC6 Networking Conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; and Mobile and Wireless Communications
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The purpose of this paper is to study the quality of service and optimal distributed resource allocation in a wireless network. A wireless network is similar to the Internet in that the system description must allow for distributed resource allocation under uncertainty. The quality of service that results from the operation of a distributed system is analyzed in terms of a signal-to-noise model of a power-controlled wireless network. The method of analysis is game theory with learninig. Recently, the allocation of resources in the Internet has been studies using solution concepts based on learnabilility. The learnability in the context of a distributed mobile network is studied here. By the appropriate redefinition of the strategy spaces of the users, the resource allocation game, defined between the users, is learnable in the sense that eventually the users learn the optimal strategy concerning resource usage.