• DocumentCode
    3243991
  • Title

    Infinite Series Representations of the Trivariate and Quadrivariate Nakagami-m distributions

  • Author

    Dharmawansa, K.D.P. ; Rajatheva, R.M.A.P. ; Tellambura, C.

  • Author_Institution
    Asian Inst. of Technol., Pathumthani
  • fYear
    2007
  • fDate
    24-28 June 2007
  • Firstpage
    1114
  • Lastpage
    1118
  • Abstract
    In this paper, we derive new infinite series representations for the quadrivariate Nakagami-m distribution and cumulative distribution functions (cdf). we make use of the Miller´s approach and the Dougall´s identity to derive the joint density function. The classical joint density function of exponentially correlated Nakagami-m variables can be identified as a special case of our joint density function. Our results are based on the most general arbitrary correlation matrix possible. Moreover, the trivariate density function and cdf for an arbitrary correlation matrix is also derived from our main result. Bounds on the error resulting from truncation of the infinite series are also presented. Finally, numerical results are presented to verify the accuracy of our formulation.
  • Keywords
    Nakagami channels; higher order statistics; matrix algebra; correlation matrix; cumulative distribution functions; infinite series representations; joint density function; quadrivariate Nakagami-m distributions; trivariate Nakagami-m distributions; Communications Society; Covariance matrix; Density functional theory; Distribution functions; Log-normal distribution; Nakagami distribution; Rayleigh channels; Rician channels; Weibull distribution; Weibull fading channels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2007. ICC '07. IEEE International Conference on
  • Conference_Location
    Glasgow
  • Print_ISBN
    1-4244-0353-7
  • Type

    conf

  • DOI
    10.1109/ICC.2007.189
  • Filename
    4288860