• DocumentCode
    2093934
  • Title

    Optimal soft combination for cooperative spectrum detection in distributed antenna systems

  • Author

    Yu, Wentao ; Yu, Shuyang ; Wang, Xiangyang

  • Author_Institution
    Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
  • fYear
    2010
  • fDate
    11-14 Nov. 2010
  • Firstpage
    1378
  • Lastpage
    1381
  • Abstract
    In this paper, we consider cooperative spectrum detection based on energy detection in distributed antenna systems. Soft combination of the observed energies from different cognitive radio users is investigated. Based on the Neyman-Pearson criterion, we obtain an optimal soft combination scheme that maximizes the detection probability for a given false alarm probability. We derive closed-form expressions for the probabilities of detection and false alarm for the optimal soft combination scheme. Finally, we show through numerical results the improvement in cooperative spectrum detection with the optimal soft combination.
  • Keywords
    MIMO communication; cognitive radio; fading channels; transmitting antennas; Neyman-Pearson criterion; closed-form expressions; cooperative spectrum detection; distributed antenna systems; energy detection; optimal soft combination; MIMO; cognitive radio; cooperative spectrum detection; distributed antenna systems; energy detection; optimal soft combination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Technology (ICCT), 2010 12th IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-6868-3
  • Type

    conf

  • DOI
    10.1109/ICCT.2010.5689029
  • Filename
    5689029