• DocumentCode
    517335
  • Title

    Cooperative Spectrum Sensing under Imperfect Channel Estimation

  • Author

    Shen Qing-hua ; Wu Xuan-li ; Sha Xue-jun ; Zhang Nai-tong

  • Author_Institution
    Commun. Res. Center, Harbin Inst. of Technol., Harbin, China
  • Volume
    2
  • fYear
    2010
  • fDate
    12-14 April 2010
  • Firstpage
    174
  • Lastpage
    178
  • Abstract
    Recently proposed cooperative spectrum sensing method suggests that Cognitive Radio (CR) users can detect the primary users at low SNR with less time and higher accuracy through user cooperation. However, previous works assume CR users can acquire fully channel state information by pilot symbols, which is impractical. In this paper, the performance with imperfect channel estimation in cooperative spectrum sensing method is analyzed and the trade-offs between false alarm probability and leakage alarm probability on the decision of threshold under imperfect channel estimation is presented. Simulation results show that the imperfect channel estimation would reduce the benefits obtained from cooperation. When estimation error grows to 0.3 there would be a 0.11 loss in detection probability and the false alarm probability, which is important to CR system, would increase from 0.1 to 0.4.
  • Keywords
    channel estimation; cognitive radio; probability; cognitive radio; cooperative spectrum sensing; detection probability; false alarm probability; imperfect channel estimation; leakage alarm probability; Channel estimation; Channel state information; Chromium; Cognitive radio; Estimation error; Fading; Mobile communication; Performance analysis; Protocols; Relays; cooperative spectrum sensing; imperfect channel estimation;
  • 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.2010.250
  • Filename
    5471358