• DocumentCode
    864618
  • Title

    Energy-Efficient Resource Allocation in Wireless Networks

  • Author

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

  • Author_Institution
    Qualcomm, Inc., San Diego, CA
  • Volume
    24
  • Issue
    3
  • fYear
    2007
  • fDate
    5/1/2007 12:00:00 AM
  • Firstpage
    58
  • Lastpage
    68
  • Abstract
    This paper shows that game theory can be used as a unifying framework to study radio resource management in a variety of wireless networks. with different service criteria. It focuses on infrastructure networks where users transmit to a common concentration point such as a base station in a cellular network or an access point. Since most of the terminals in a wireless network are battery-powered, energy efficiency is crucial to prolonging the life of the terminals. Also, in most practical scenarios, distributed algorithms are preferred over centralized ones. Throughout this article it focuses on distributed algorithms with emphasis on energy efficiency. A family of power control games is presented for energy-efficient resource allocation in wireless code-division multiple-access (CDMA) networks and give discussions and conclusions
  • Keywords
    cellular radio; code division multiple access; game theory; mobility management (mobile radio); power control; telecommunication control; CDMA; access point; cellular network; distributed algorithms; energy-efficient resource allocation; power control games; radio resource management; wireless code-division multiple-access; wireless networks; Bandwidth; Delay; Distributed algorithms; Energy efficiency; Game theory; Multiaccess communication; Resource management; Signal processing algorithms; Wireless mesh networks; Wireless networks;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2007.361602
  • Filename
    4205089