• DocumentCode
    2563262
  • Title

    Cooperation based energy efficiency optimization using game theory framework for heterogeneous networks

  • Author

    Bouferda, Sofia ; Hayar, Aawatif ; Zayen, Bassem ; Rifi, Mounir

  • Author_Institution
    GREENTIC-RITM-ENSEM, Hassan II Univ., Casablanca, Morocco
  • fYear
    2012
  • fDate
    28-29 May 2012
  • Firstpage
    45
  • Lastpage
    49
  • Abstract
    Wireless communications knows a real progress that continues relentless as subscribers consume new products and services using mobile devices having more and more powerful feature sets and performance. Consequently we have both a growth in electromagnetic radiation which can be harmful for human health, and mobiles battery consumption that have to be increasingly greater with such performances. In this paper1 we propose a new power optimization scheme that aims to reduce the transmit power while guarantying a good capacity for the system, based on a cooperation protocol algorithm and using a game theory based resource allocation scheme.
  • Keywords
    cooperative communication; electromagnetic waves; game theory; mobile radio; optimisation; protocols; cooperation based energy efficiency optimization; cooperation protocol algorithm; electromagnetic radiation; game theory; heterogeneous networks; mobile battery consumption; mobile devices; power optimization scheme; resource allocation scheme; wireless communications; Batteries; Game theory; Interference constraints; Mobile communication; Mobile handsets; Resource management; cooperative networks; energy efficiency; green communications; heterogeneous wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband Networks and Fast Internet (RELABIRA), 2012 Symposium on
  • Conference_Location
    Baabda
  • Print_ISBN
    978-1-4673-2151-8
  • Electronic_ISBN
    978-1-4673-2150-1
  • Type

    conf

  • DOI
    10.1109/RELABIRA.2012.6235091
  • Filename
    6235091