• DocumentCode
    148278
  • Title

    A unified semi-analytical technique to evaluate the distributions of products of non-identically distributed Weibull random variables

  • Author

    Al-Badarneh, Yazan H. ; Smadi, Mahmoud A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
  • fYear
    2014
  • fDate
    6-9 April 2014
  • Firstpage
    548
  • Lastpage
    553
  • Abstract
    In this paper we derived the probability density function of the product of independent non-identically distributed Weibull RVs. The derivation is based on the use of the Mellin transformation along with the Residue theorem to evaluate the attained complex integral. The resultant integrands have only elementary functions, such as exponentials and algebraic power functions and can, therefore, be explicitly evaluated to any degree of accuracy using any symbolic mathematics based software. The distribution of the product of independent and identically distributed (i.i.d) Weibull RVs are also evaluated. The proposed method avoids the computational burden of residuals of a product of functions. Hence our results are expected to be of significant practical use to evaluate the error rate performance of any Mary orthogonal faded systems in indoor and outdoor wireless environments.
  • Keywords
    Weibull distribution; fading channels; probability; Mary orthogonal faded systems; Mellin transformation; Residue theorem; complex integral; error rate performance; indoor wireless environment; nonidentically distributed Weibull random variables; outdoor wireless environment; probability density function; product distributions; unified semianalytical technique; Fading; Probability density function; Random variables; Signal to noise ratio; Transforms; Weibull distribution; Wireless communication; Weibull distribution; channel modeling and characterization; wireless communications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2014 IEEE
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/WCNC.2014.6952087
  • Filename
    6952087