• DocumentCode
    1777072
  • Title

    A double threshold energy detection cooperative spectrum sensing scheme over Nakagami and Rician fading channels

  • Author

    Sharifi, Iman Mohammad ; Alirezaee, Sh ; Heydari, Ramiyar ; Ahmadi, Mahdi ; Erfani, Shervin ; Naserian, Mohammad

  • Author_Institution
    Electr. Eng. Dept., Razi Univ., Kermanshah, Iran
  • fYear
    2014
  • fDate
    29-30 Oct. 2014
  • Firstpage
    736
  • Lastpage
    740
  • Abstract
    Cooperative spectrum sensing is an efficient scheme to deal with the effects of fading components on detection performance in cognitive radio networks. Energy efficiency is one of the impacting factors of this solution. In this paper, we apply the optimal double threshold `n-ratio´ fusion rule over Nakagami and Rician fading channels and examine its performance through numerical simulations. Evaluations indicate that `2-ratio´ and `1-ratio´ logics outperform other data fusion schemes in both Nakagami and Rician channels. Moreover, the optimal K-coefficient is derived to determine the thresholds (λ1 and λ2) in double thresholds scheme for both fading conditions. While the optimal parameters are applied, the reduction of the consumed energy is presented as a tradeoff between detection performance and cooperation overhead.
  • Keywords
    Nakagami channels; Rician channels; cognitive radio; energy conservation; energy consumption; numerical analysis; radio spectrum management; sensor fusion; signal detection; Nakagami channels; Rician fading channels; cognitive radio networks; cooperation overhead; cooperative spectrum sensing scheme; data fusion schemes; double threshold energy detection performance; double threshold n-ratio fusion rule; energy consumption reduction; energy efficiency; optimal K-coefficient; Cognitive radio; Energy efficiency; Fading; Nakagami distribution; Rician channels; Sensors; Signal to noise ratio; cooperative spectrum sensing; data fusion rules; energy efficiency; fading channels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Knowledge Engineering (ICCKE), 2014 4th International eConference on
  • Conference_Location
    Mashhad
  • Print_ISBN
    978-1-4799-5486-5
  • Type

    conf

  • DOI
    10.1109/ICCKE.2014.6993437
  • Filename
    6993437