• DocumentCode
    3182227
  • Title

    Collaborative Spectrum Sensing in Cognitive Radio System - Performance Analysis of Weighted Gain Combining

  • Author

    Feng, T. ; Wang, G. ; Culver, S. ; Gidlund, M.

  • Author_Institution
    Univ. of British Columbia, Vancover, BC, Canada
  • fYear
    2011
  • fDate
    2-5 May 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Cognitive radio (CR) is a novel approach to improving the spectral efficiency of licensed radio frequency bands by opportunistically accessing unused portions of the band without introducing interference to a licensed user. To reliably identify unused portions in a dynamic environment, a collaborative spectrum sensing (CSS) approach is known to be advantageous. In this article we will consider a weighted energy fusion scheme for secondary users with different sensing channel conditions and to analyze the performance we suggest a numerical approach by utilizing a result from probability density function of the weighted sum of noncentral chi-square random variables are used. Simulation experiments are provided to confirm the viability of the proposed numerical approach.
  • Keywords
    cognitive radio; performance evaluation; probability; radio spectrum management; radiofrequency interference; random processes; spectral analysis; CR; CSS approach; cognitive radio system; collaborative spectrum sensing approach; dynamic environment; interference; licensed radio frequency bands; licensed user; noncentral chi-square random variables; performance analysis; probability density function; secondary users; sensing channel conditions; spectral efficiency; weighted energy fusion scheme; weighted gain combining; Collaboration; Detectors; Finite wordlength effects; Probability density function; Signal to noise ratio; Silicon; BER; SNR; Spectrum sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Networks and Services Research Conference (CNSR), 2011 Ninth Annual
  • Conference_Location
    Ottawa, ON
  • Print_ISBN
    978-1-4577-0040-8
  • Electronic_ISBN
    978-0-7695-4393-2
  • Type

    conf

  • DOI
    10.1109/CNSR.2011.10
  • Filename
    5771184