• DocumentCode
    2581018
  • Title

    An optimal cooperative spectrum sensing method in cognitive radio network over Rayleigh fading channel

  • Author

    Vu, Ha Nguyen ; Duy, Tran Trung ; Kong, Hyung-Yun

  • Author_Institution
    Electr. Eng. Dept., Univ. of Ulsan, Ulsan, South Korea
  • fYear
    2011
  • fDate
    10-12 Oct. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In cognitive radios, there exist two kinds of detection errors: missed-detection errors and false-alarm errors. These errors severely degrade sensing performance. In this paper, we aim to minimize the total detection probability by considering it as a target function for the optimization of sensing parameters in a Rayleigh fading environment. With this established target function, we perform a discrete difference operation and derive the closed - form expression of the optimal fusion rule for cooperative spectrum sensing. Furthermore, we derive an algorithm to optimize the energy detection threshold for the cognitive users for any fusion rule. A second algorithm that optimizes both the energy threshold and the fusion rule is also proposed so as to minimize the total error probability. Based on this algorithm, an optimal sensing method for a cooperative cognitive radio network is suggested.
  • Keywords
    Rayleigh channels; cognitive radio; cooperative communication; optimisation; probability; radio networks; Rayleigh fading channel; closed-form expression; cognitive radio network; detection probability; discrete difference operation; energy detection threshold; false-alarm detection error; missed-detection error; optimal cooperative spectrum sensing method; optimal fusion rule; total error probability; Cognitive radio; Copper; Error probability; Fading; Optimized production technology; Sensors; Cognitive radio; Rayleigh fading channel; cooperative spectrum sensing; energy detection; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Days (WD), 2011 IFIP
  • Conference_Location
    Niagara Falls, ON
  • ISSN
    2156-9711
  • Print_ISBN
    978-1-4577-2027-7
  • Electronic_ISBN
    2156-9711
  • Type

    conf

  • DOI
    10.1109/WD.2011.6098144
  • Filename
    6098144