• DocumentCode
    162000
  • Title

    Developing policies for channel allocation in Cognitive Radio Networks using Game Theory

  • Author

    Bhattarai, Amulya ; Charoenlarpnopparut, C. ; Suksompong, Prapun ; Komolkiti, P.

  • Author_Institution
    Sch. of Inf., Thammasat Univ., Pathum Thani, Thailand
  • fYear
    2014
  • fDate
    14-17 May 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper develops policies for channel allocation in Cognitive Radio Networks (CRN). Game Theory is a tool which can be applied to allocate the limited resources among the selfish users in CRN. The distributed users actions and decisions can drive the system into an equilibrium state. We analyze the Nash Equilibrium (NE) solution for different CRN scenarios beginning from simple scenarios (`Fixed: 3 link, 2 ch´ and `Fixed and Random: 5 link, 3 ch´) then to a more complex one (`Random: 10 link, 4 ch´). We then develop policies for channel allocation for CRN based on the results obtained. These general policies can be used in other CRN scenarios to reach equilibrium solutions with less computation resources and time.
  • Keywords
    channel allocation; cognitive radio; game theory; resource allocation; Nash equilibrium; channel allocation; cognitive radio networks; game theory; selfish users; Channel allocation; Force; Games; Interference; Receivers; Signal to noise ratio; Transmitters; Channel allocation policies; Cognitive Radio Network (CRN); Nash Equilibrium (NE);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2014 11th International Conference on
  • Conference_Location
    Nakhon Ratchasima
  • Type

    conf

  • DOI
    10.1109/ECTICon.2014.6839829
  • Filename
    6839829