• DocumentCode
    2454422
  • Title

    An Improved Game-Theoretic Algorithm for Competitive Spectrum Sharing

  • Author

    Wei-Feng Zhou ; Qi Zhu ; Yu-qing Ling

  • Author_Institution
    Jiangsu Key Lab. of Wireless Commun., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    12-14 April 2010
  • Firstpage
    164
  • Lastpage
    168
  • Abstract
    Cognitive Radio (CR) is a promising technology for dynamic spectrum access with the ability of observing the surrounding environment and adapting itself to the change of network environment. For the problem of spectrum sharing among a primary user and multiple secondary users based on Game Theory, an improved utility function of the second user is proposed. In this function, the influence of the shared spectrum on the spectrum demand is considered. The more spectrum the second user shared, the demand for spectrum is relatively less. The demand degree in the utility function is a function of spectrum sharing, so it is a variable which can more accurately describes the cognitive radio system features. The theoretical analysis and simulation results show the validity of the proposed algorithm and the existence of Nash equilibrium. With the improved utility function, the fairness is introduced to the process of spectrum sharing.
  • Keywords
    cognitive radio; game theory; Nash equilibrium; cognitive radio system; competitive spectrum sharing; dynamic spectrum access; game theory; game-theoretic algorithm; multiple secondary users; spectrum demand; spectrum sharing; Algorithm design and analysis; Chromium; Cognitive radio; Game theory; Laboratories; Mobile communication; Mobile computing; Nash equilibrium; Telecommunication computing; Wireless communication; Cognitive Radio; Game theory; Nash equilibrium; Spectrum sharing; demand factor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Mobile Computing (CMC), 2010 International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-6327-5
  • Electronic_ISBN
    978-1-4244-6328-2
  • Type

    conf

  • DOI
    10.1109/CMC.2010.159
  • Filename
    5471360