Energy-Efficient Resource Allocation in Wireless Networks

Abstract

An overview of game-theoretic approaches to energy-efficient resource\nallocation in wireless networks is presented. Focusing on multiple-access\nnetworks, it is demonstrated that game theory can be used as an effective tool\nto study resource allocation in wireless networks with quality-of-service (QoS)\nconstraints. A family of non-cooperative (distributed) games is presented in\nwhich each user seeks to choose a strategy that maximizes its own utility while\nsatisfying its QoS requirements. The utility function considered here measures\nthe number of reliable bits that are transmitted per joule of energy consumed\nand, hence, is particulary suitable for energy-constrained networks. The\nactions available to each user in trying to maximize its own utility are at\nleast the choice of the transmit power and, depending on the situation, the\nuser may also be able to choose its transmission rate, modulation, packet size,\nmultiuser receiver, multi-antenna processing algorithm, or carrier allocation\nstrategy. The best-response strategy and Nash equilibrium for each game is\npresented. Using this game-theoretic framework, the effects of power control,\nrate control, modulation, temporal and spatial signal processing, carrier\nallocation strategy and delay QoS constraints on energy efficiency and network\ncapacity are quantified.\n