• DocumentCode
    2809506
  • Title

    Competitive spectrum sharing in symmetric fading channel with incomplete information

  • Author

    Noam, Yair ; Leshem, Amir ; Messesr, Hagit

  • Author_Institution
    Dept. of Electr. Eng., Tel-Aviv Univ., Tel-Aviv, Israel
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    2998
  • Lastpage
    3001
  • Abstract
    This paper considerers a symmetric Gaussian interference game with incomplete information where players choose between frequency division multiplexing (FDM) and full spread (FS) of their transmit power. Previously, the only known Nash equilibrium point for this game was the point where players mutually choose FS and interfere with each other. This point may lead to undesirable outcome from global network point of view and even for each user individually. It happens when mutual FDM is better to both users than mutual FS. In this paper, we show that if users agree to use different sub-bands in the case of FDM, then there exist a non pure-FS Nash equilibrium point, i.e. an equilibrium point where players choose FDM for some channel realizations and FS for the others. This Nash equilibrium point increases each user´s throughput and therefore improves the spectrum utilization. Furthermore, to reach this point, the only instantaneous channel state information (CSI) required by each user is its interference-to-signal ratio.
  • Keywords
    Gaussian processes; fading channels; frequency division multiplexing; game theory; FDM; channel state information; competitive spectrum sharing; frequency division multiplexing; interference-to-signal ratio; symmetric Gaussian interference game; symmetric fading channel; Bayesian methods; Channel state information; Fading; Frequency division multiplexing; Game theory; Interference channels; Nash equilibrium; Statistics; Throughput; Wireless sensor networks; Bayesian games; interference channel; spectrum management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496128
  • Filename
    5496128