• DocumentCode
    719177
  • Title

    Performance analysis of MRC combiner output in log normal shadowed fading

  • Author

    Singh, Rupender ; Soni, S.K. ; Verma, P.K. ; Kumar, Sandeep

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Delhi Technol. Univ. (Formerly Delhi Coll. of Eng.), Delhi, India
  • fYear
    2015
  • fDate
    15-16 May 2015
  • Firstpage
    1116
  • Lastpage
    1120
  • Abstract
    In this paper, we provide the performance of diversity systems in the presence of log normal shadowing. The performance measures of fading communication systems such as probability of density function (PDF) of received signal to noise ratio (SNR), Amount of fading (AF) and Outage probability (Pout) have been calculated and graphically represented for Maximal Ratio Combining (MRC) for different numbers of diversity branches. We have used Fenton-Wilkinson method to estimate the parameters for a single log-normal distribution that approximates the sum of log-normal random variables (RVs). The results that we provide in this paper are an important tool for measuring the performance of communication links in a log-normal shadowing.
  • Keywords
    diversity reception; fading channels; log normal distribution; probability; Fenton-Wilkinson method; MRC combiner; diversity systems; fading communication systems; log normal random variable; log normal shadowed fading; log normal shadowing; maximal ratio combining; outage probability; probability density function; Approximation methods; Automation; Channel capacity; Diversity reception; Fading; Random variables; Signal to noise ratio; ABEP(Average Bit Error Probability); Amount of fading(AF); FW Method; Log normal random variable; Maximal Ratio Combining (MRC); Outage probability (Pout); Probability of density function(PDF); Random Variables RVs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication & Automation (ICCCA), 2015 International Conference on
  • Conference_Location
    Noida
  • Print_ISBN
    978-1-4799-8889-1
  • Type

    conf

  • DOI
    10.1109/CCAA.2015.7148542
  • Filename
    7148542