CDMA uplink power control as a noncooperative game
Wireless Networks
A utility-based power-control scheme in wireless cellular systems
IEEE/ACM Transactions on Networking (TON)
Wireless Communications
A Nash game algorithm for SIR-based power control in 3G wireless CDMA networks
IEEE/ACM Transactions on Networking (TON)
Energy-efficient resource allocation in wireless networks with quality-of-service constraints
IEEE Transactions on Communications
A noncooperative power control game for multirate CDMA data networks
IEEE Transactions on Wireless Communications
A Cross-Layer Optimization Framework for Multihop Multicast in Wireless Mesh Networks
IEEE Journal on Selected Areas in Communications
A Game-Theoretic Approach to Energy-Efficient Modulation in CDMA Networks with Delay QoS Constraints
IEEE Journal on Selected Areas in Communications
A framework for uplink power control in cellular radio systems
IEEE Journal on Selected Areas in Communications
Oligopoly game modeling for cognitive radio environments
ruSMART/NEW2AN'10 Proceedings of the Third conference on Smart Spaces and next generation wired, and 10th international conference on Wireless networking
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This paper shows how to tailor a game-theoretic approach to the issue of distributed resource allocation in a multiple-access wireless network with different quality of service constraints. According to the nature of the terminals (either fixed/vehicular or mobile/battery-powered, in one respect, and either licensed or unlicensed in another), each user pursues a different goal in the network. Game theory is used as a possible tool to ensure optimum coexistence of users with highly conflicting interests. In the proposed game, each user is allowed to jointly set its transmit power and data rate according to a utility-maximizing criterion, where the utility is defined as the ratio of the overall throughput to the transmit power. The noncooperative Nash solution of the game is investigated and closed-form expressions for this equilibrium are derived and compared with numerical results for a decentralized resource control algorithm.