• DocumentCode
    2988943
  • Title

    On the Performance Analysis of Digital Communications over Weibull-Gamma Channels

  • Author

    Ansari, Imran Shafique ; Alouini, Mohamed-Slim

  • Author_Institution
    Comput., Electr., & Math. Sci. & Eng. (CEMSE) Div., King Abdullah Univ. of Sci. & Technol. (KAUST), Thuwal, Saudi Arabia
  • fYear
    2015
  • fDate
    11-14 May 2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    In this work, the performance analysis of digital communications over a composite Weibull-Gamma (WG) multipath-fading and shadowing channel is presented wherein WG distribution is appropriate for modeling fading environments when multipath is superimposed on shadowing. More specifically, in this work, exact closed-form expressions are derived for the probability density function, the cumulative distribution function, the moment generating function, and the moments of a composite WG channel. Capitalizing on these results, new exact closed-form expressions are offered for the outage probability, the higher- order amount of fading, the average error rate for binary and M-ary modulation schemes, and the ergodic capacity under various types of transmission policies, mostly in terms of Meijer´s G functions. These new analytical results were also verified via computer-based Monte-Carlo simulation results.
  • Keywords
    Monte Carlo methods; Weibull distribution; fading channels; M-ary modulation schemes; WG distribution; Weibull-Gamma multipath-fading and shadowing channel; binary modulation schemes; computer-based Monte-Carlo simulation; cumulative distribution function; digital communications; exact closed-form expressions; performance analysis; Bit error rate; Closed-form solutions; Fading; Mathematical model; Modulation; Shadow mapping; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
  • Conference_Location
    Glasgow
  • Type

    conf

  • DOI
    10.1109/VTCSpring.2015.7145973
  • Filename
    7145973