• DocumentCode
    1337383
  • Title

    On Correlated Generalized Rician Fading Based on Gaussian Class Multivariate Distributions with Generalized Correlation

  • Author

    Shi, Qinghua ; Karasawa, Y.

  • Author_Institution
    Dept. of Electron. Eng., Univ. of Electro-Commun., Chofu, Japan
  • Volume
    16
  • Issue
    12
  • fYear
    2012
  • fDate
    12/1/2012 12:00:00 AM
  • Firstpage
    1925
  • Lastpage
    1928
  • Abstract
    Gaussian class multivariate distributions with single integral representations were recently proposed to obtain correlated fading channels with generalized correlation. In this letter, we focus on correlated generalized Rician fading channels, derived from Gaussian class multivariate distributions. We present a comprehensive investigation on the statistical properties of correlated generalized Rician fading channels. Specifically, closed-form expressions for joint probability density function (PDF), marginal PDF, power correlation, joint moment, and joint characteristic function are elaborated. These statistical characterizations help us have a better understanding of the correlated generalized Rician channels and allow for some new applications in performance analysis of diversity schemes and, particularly, maximal ratio combining over correlated fading channels with generalized correlation.
  • Keywords
    Gaussian distribution; Rician channels; integral equations; probability; Gaussian class multivariate distributions; PDF; closed-form expressions; correlated fading channels; correlated generalized Rician fading; correlated generalized Rician fading channels; integral representations; marginal PDF; maximal ratio combining; probability density function; statistical properties; Correlation; Diversity reception; Fading; Gaussian channels; Performance analysis; Probability density function; Rician channels; Joint probability density function; joint characteristic function; joint moment; multivariate distribution;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2012.111612.121766
  • Filename
    6355932