Energy-efficient resource allocation in wireless networks

Farhad Meshkati, H. Vincent Poor, Stuart C. Schwartz

Research output: Contribution to journalArticlepeer-review

250 Scopus citations


Game-theoretic approaches to radio resource allocation has the potential for wireless networks. In such an approach, the users' interaction in a wireless network can be modeled as a game in which the users' terminals are the players in the game competing for network resources such as bandwidth and energy. However, non-cooperation is the main feature that is being taken from game theory approach. In non-cooperation, depending on the situation, users are not limited to the choice of power, but can also choose their transmission rates, modulation schemes, packet sizes, multiuser receivers, multiantenna processing algorithms or carrier allocation strategies. Cross-layer resource allocation can be achieved by expanding the strategy sets of the users over multiple layers in the OCI protocol stack or by defining the users' utility functions such that performance measures across multiple layers are included. The utility function considered measures the number of reliable bits transmitted per joule of energy consumed and is particularly useful for energy-constrained networks. Game-theoretic framework is also very suitable for studying resource allocation in wireless ad hoc networks and wireless local area networks.

Original languageEnglish (US)
Pages (from-to)58-68
Number of pages11
JournalIEEE Signal Processing Magazine
Issue number3
StatePublished - May 2007

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics


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