• DocumentCode
    1216452
  • Title

    Infinite-series representations associated with the bivariate rician distribution and their applications

  • Author

    Zogas, Dimitris A. ; Karagiannidis, George K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Aristotle Univ. of Thessaloniki, Greece
  • Volume
    53
  • Issue
    11
  • fYear
    2005
  • Firstpage
    1790
  • Lastpage
    1794
  • Abstract
    Analytical expressions for the evaluation of the bivariate Rician cumulative distribution function (CDF), the covariance, and the characteristic function (CHF) are not known, despite their usefulness in wireless communications systems analysis. In this letter, motivated by the ability of the Rician model to describe fading in wireless communications, we derive infinite-series representations for the probability density function, the CDF, the covariance, and the CHF of two correlated Rician random variables. It is shown that the presented infinite-series expressions converge rapidly, and can be efficiently used to study several performance criteria for dual-diversity receivers operating over correlated Rician fading channels.
  • Keywords
    Rician channels; covariance analysis; wireless channels; Rician cumulative distribution function; Rician fading channel; Rician random variable; covariance; digital communication; dual-diversity receiver; infinite-series representation; probability density function; wireless communication system; Distribution functions; Diversity methods; Diversity reception; Nakagami distribution; Probability density function; Random variables; Rayleigh channels; Rician channels; Weibull fading channels; Wireless communication; Communications channels; Rician fading; correlated fading; digital communications; fading channels;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2005.858659
  • Filename
    1532472