• DocumentCode
    3127478
  • Title

    Gamma variate ratio distribution with application to CDMA performance analysis

  • Author

    Kwan, Raymond ; Leung, Cyril

  • Author_Institution
    Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC
  • fYear
    2005
  • fDate
    18-19 April 2005
  • Firstpage
    188
  • Lastpage
    191
  • Abstract
    An expression for the probability density function (pdf), fR (r), is derived for the ratio, R, of gamma variates of the form R = X1/(a1X1 + a2X2), where a1 and a2 are constants and X1 and X2 are independent gamma distributed random variables. This distribution arises naturally in the performance analyses of wireless communication systems experiencing Nakagami fading. It is shown that fR(r) reduces to the standard beta distribution and the beta prime distribution in special cases. Expressions for the moments, the moment generating function (MGF) and the cumulative distribution function (cdf) of R are obtained in terms of the hypergeometric function. Finally, the use of fR(r) is illustrated by considering the problem of deriving outage probabilities and throughput bounds for a CDMA system employing adaptive modulation and coding (AMC)
  • Keywords
    adaptive codes; adaptive modulation; channel coding; code division multiple access; fading channels; gamma distribution; modulation coding; AMC; CDMA performance analysis; Nakagami fading; adaptive modulation and coding; beta prime distribution; cumulative distribution function; gamma variate ratio distribution; hypergeometric function; moment generating function; outage probabilities; pdf; probability density function; throughput bounds; wireless communication systems; Adaptive systems; Distribution functions; Fading; Multiaccess communication; Nakagami distribution; Performance analysis; Probability density function; Random variables; Throughput; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Wired and Wireless Communication, 2005 IEEE/Sarnoff Symposium on
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    0-7803-8854-2
  • Type

    conf

  • DOI
    10.1109/SARNOF.2005.1426542
  • Filename
    1426542