Energy-efficient power and rate control with QoS constraints: a game-theoretic approach
Proceedings of the 2006 international conference on Wireless communications and mobile computing
Power allocation game for fading MIMO multiple access channels with antenna correlation
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
The simplex game: can selfish users learn to operate efficiently in wireless networks?
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
Power Control in Wireless Cellular Networks
Foundations and Trends® in Networking
Game theoretic distributed uplink power control for CDMA networks with real-time services
Computer Communications
ICAIT '08 Proceedings of the 2008 International Conference on Advanced Infocomm Technology
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Introducing hierarchy in energy-efficient power control games
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
A new energy efficiency measure for quasi-static MIMO channels
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
IEEE Transactions on Communications
Power allocation games for MIMO multiple access channels with coordination
IEEE Transactions on Wireless Communications
Introducing hierarchy in energy games
IEEE Transactions on Wireless Communications
Energy efficiency-delay tradeoffs in CDMA networks: a game-theoretic approach
IEEE Transactions on Information Theory
Distributed power control using non-monotonic reaction curves
GameNets'09 Proceedings of the First ICST international conference on Game Theory for Networks
An information-theoretic look at MIMO energy-efficient communications
Proceedings of the Fourth International ICST Conference on Performance Evaluation Methodologies and Tools
Energy-efficient resource allocation in wireless networks with quality-of-service constraints
IEEE Transactions on Communications
Distributed energy efficient spectrum access in cognitive radio wireless ad hoc networks
IEEE Transactions on Wireless Communications
A game theory based WiMAX uplink power control algorithm
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Journal of Parallel and Distributed Computing
Energy-aware utility regions: multiple access pareto boundary
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A non-cooperative game approach for power-aware MAC in ad hoc wireless networks
Computer Communications
A hybrid game model based on reputation for spectrum allocation in wireless networks
Computer Communications
Energy-aware utility regions: multiple access Pareto boundary
IEEE Transactions on Wireless Communications
A repeated game formulation of energy-efficient decentralized power control
IEEE Transactions on Wireless Communications
Using model checking for analyzing distributed power control problems
EURASIP Journal on Wireless Communications and Networking
Pricing in noncooperative interference channels for improved energy efficiency
EURASIP Journal on Wireless Communications and Networking - Special issue on interference management in wireless communication systems: theory and applications
A Power Control Based Admission Algorithm for Maximizing Throughput in a CDMA Network
Wireless Personal Communications: An International Journal
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
Full length article: Game theory and power control in ultrawideband networks
Physical Communication
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A game-theoretic model for studying power control in multicarrier code-division multiple-access systems is proposed. Power control is modeled as a noncooperative game in which each user decides how much power to transmit over each carrier to maximize its own utility. The utility function considered here measures the number of reliable bits transmitted over all the carriers per joule of energy consumed and is particularly suitable for networks where energy efficiency is important. The multidimensional nature of users' strategies and the nonquasi-concavity of the utility function make the multicarrier problem much more challenging than the single-carrier or throughput-based-utility case. It is shown that, for all linear receivers including the matched filter, the decorrelator, and the minimum-mean-square-error detector, a user's utility is maximized when the user transmits only on its "best" carrier. This is the carrier that requires the least amount of power to achieve a particular target signal-to-interference-plus-noise ratio at the output of the receiver. The existence and uniqueness of Nash equilibrium for the proposed power control game are studied. In particular, conditions are given that must be satisfied by the channel gains for a Nash equilibrium to exist, and the distribution of the users among the carriers at equilibrium is characterized. In addition, an iterative and distributed algorithm for reaching the equilibrium (when it exists) is presented. It is shown that the proposed approach results in significant improvements in the total utility achieved at equilibrium compared with a single-carrier system and also to a multicarrier system in which each user maximizes its utility over each carrier independently