• DocumentCode
    106844
  • Title

    The Product of Two \\alpha \\hbox {-}\\mu Variates and the Composite \\alpha \\hbox {-} \\mu Multipath&#x

  • Author

    Leonardo, Elvio J. ; Yacoub, Michel D.

  • Author_Institution
    Dept. of Inf., State Univ. of Maringa, Maringa, Brazil
  • Volume
    64
  • Issue
    6
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    2720
  • Lastpage
    2725
  • Abstract
    In this paper, the product of two independent and nonidentically distributed (i.n.i.d.) α-μ variates is considered. Exact reasonably simple closed-form expressions for the probability density function (pdf), the cumulative distribution function (cdf), and the moments of the resulting random variable (RV) are derived. These results find a wide range of applications in a number of fields, such as radar communications, multihop systems, multiple-input-multiple-input links, and cascaded communications in general. In particular, they are used here to describe a novel α-μ/α-μ composite multipath-shadowing fading model. Because the α-μ model alone comprises a substantial number of useful fading environments, its α-μ/α-μ composite version leads to a variety and an immense amount of composite fading distributions. The novel expressions for this rather flexible scenario compute instantaneously, constituting a powerful tool to characterize wireless fading channels.
  • Keywords
    fading channels; multipath channels; CDF; PDF; cascaded communications; closed-form expressions; composite multipath-shadowing fading model; cumulative distribution function; independent and nonidentically distributed α-μ variates; multihop systems; multiple-input-multiple-input links; probability density function; radar communications; wireless fading channels; Computational modeling; Probability density function; Random variables; Rayleigh channels; Shadow mapping; Wireless communication; $alpha hbox{-}mu$ distribution; Composite fading channels; multipath fading; shadowing;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2014.2342611
  • Filename
    6862894