• DocumentCode
    1722236
  • Title

    Exact performance analysis of blindly combined energy detection for spectrum sensing

  • Author

    Kortun, Ayse ; Ratnarajah, Tharm ; Sellathurai, Mathini

  • Author_Institution
    Inst. of Electron., Commun. & Inf. Technol. (ECIT), Queen´´s Univ. Belfast, Belfast, UK
  • fYear
    2010
  • Firstpage
    560
  • Lastpage
    563
  • Abstract
    In this paper, we propose exact decision thresholds for “blindly combined energy detection (BCED)” in the case of multiple receiver collaborative spectrum sensing. As opposed to the decisions thresholds estimation based on an asymptotic analysis in the sense of large samples and/or large collaborative antennas presented in the literature, the proposed mathematical formulation can be used to calculate exact thresholds for finite number of samples and collaborative antennas. The proposed formulation is based on our recent progress in the exact eigenvalue distributions of complex Wishart matrices with finite sizes. Moreover, the proposed thresholds valid for both correlated and uncorrelated Gaussian noise cases. Finally, we show that the probability of detection performance with the proposed exact decision thresholds performs better than the performance achieved with the decision thresholds calculated based on the asymptotic analysis, thus validate the importance of this work.
  • Keywords
    Gaussian noise; antennas; cognitive radio; eigenvalues and eigenfunctions; matrix algebra; BCED; Gaussian noise; Wishart matrices; asymptotic analysis; blind combined energy detection; collaborative antennas; decision threshold estimation; eigenvalue distributions; multiple receiver collaborative spectrum sensing; Cognitive radio; Covariance matrix; Eigenvalues and eigenfunctions; Gaussian noise; Receiving antennas; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal Indoor and Mobile Radio Communications (PIMRC), 2010 IEEE 21st International Symposium on
  • Conference_Location
    Instanbul
  • Print_ISBN
    978-1-4244-8017-3
  • Type

    conf

  • DOI
    10.1109/PIMRC.2010.5671867
  • Filename
    5671867