• DocumentCode
    2521664
  • Title

    Analysis of the performance of cooperative spectrum sensing over correlated Log-Normal shadowing with the moment generation function

  • Author

    Wang, Yutong ; Zhou, Zheng ; Zhong, Yi

  • Author_Institution
    Int. Sch., Beijing Univ. of Posts & Commun., Beijing, China
  • fYear
    2012
  • fDate
    2-5 Oct. 2012
  • Firstpage
    764
  • Lastpage
    769
  • Abstract
    A method is proposed for analyzing the performance of cooperative spectrum sensing in correlated Log-Normal shadow-fading environment. The probability density function (PDF) of Log-Normal sum is approximated by improving Schwartz-Yeh (I-SY), in which mean and derivation are obtained by moment generation function (MGF) instead of recursive Log-Normal approximation in Schwartz-Yeh (SY). The extension to the correlated scenario is made. Then an expression for calculating the average detection probability is obtained with the derivatives of MGF of Log-Normal RVs sum. Finally the performance of cooperative spectrum sensing is investigated using the method. Simulation results prove the reliability of the method.
  • Keywords
    log normal distribution; probability; radio spectrum management; average detection probability; cooperative spectrum sensing; correlated log normal shadow fading environment; correlated log normal shadowing; correlated scenario; log normal sum; moment generation function; probability density function; recursive log normal approximation; Approximation methods; Correlation; Monte Carlo methods; Probability density function; Sensors; Signal to noise ratio; Standards; Log-Normal RVs; Moment Generation Function; detection probability; shadowing correlation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies (ISCIT), 2012 International Symposium on
  • Conference_Location
    Gold Coast, QLD
  • Print_ISBN
    978-1-4673-1156-4
  • Electronic_ISBN
    978-1-4673-1155-7
  • Type

    conf

  • DOI
    10.1109/ISCIT.2012.6381004
  • Filename
    6381004