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Energy-efficient resource allocation in wireless networks: An overview of gametheoretic approaches (2007)
| Venue: | IEEE Signal Process. Magazine |
| Citations: | 55 - 8 self |
BibTeX
@ARTICLE{Meshkati07energy-efficientresource,
author = {Farhad Meshkati and H. Vincent Poor and Stuart C. Schwartz and Radu V. Balan},
title = {Energy-efficient resource allocation in wireless networks: An overview of gametheoretic approaches},
journal = {IEEE Signal Process. Magazine},
year = {2007},
pages = {58--68}
}
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Abstract
A game-theoretic model is proposed to study the cross-layer problem of joint power and rate control with quality of service (QoS) constraints in multiple-access networks. In the proposed game, each user seeks to choose its transmit power and rate in a distributed manner in order to maximize its own utility while satisfying its QoS requirements. The user’s QoS constraints are specified in terms of the average source rate and an upper bound on the average delay where the delay includes both transmission and queuing delays. The utility function considered here measures energy efficiency and is particularly suitable for wireless networks with energy constraints. The Nash equilibrium solution for the proposed noncooperative game is derived and a closed-form expression for the utility achieved at equilibrium is obtained. It is shown that the QoS requirements of a user translate into a “size ” for the user which is an indication of the amount of network resources consumed by the user. Using this competitive multiuser framework, the tradeoffs among throughput, delay, network capacity and energy efficiency are studied. In addition, analytical expressions are given for users ’ delay profiles and the delay performance of the users at Nash equilibrium is quantified.
Keyphrases
wireless network gametheoretic approach energy-efficient resource allocation energy efficiency qos requirement joint power analytical expression competitive multiuser framework upper bound nash equilibrium solution user qos constraint transmit power multiple-access network utility function distributed manner noncooperative game network resource nash equilibrium network capacity average source rate delay performance proposed game game-theoretic model average delay user translate cross-layer problem closed-form expression queuing delay energy constraint rate control
