• DocumentCode
    109189
  • Title

    Outage probability of composite microscopic and macroscopic diversity over correlated shadowed fading channels

  • Author

    Zhang Rui ; Wei Jibo ; Leung, Victor C. M.

  • Author_Institution
    Coll. of Basic Educ., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    10
  • Issue
    11
  • fYear
    2013
  • fDate
    Nov. 2013
  • Firstpage
    129
  • Lastpage
    142
  • Abstract
    The outage probability of a composite microscopic and macroscopic diversity system is evaluated over correlated shadowed fading channels. The correlations on both a microlevel and macrolevel are taken into account for the evaluations. The expression of the desired outage probability is explicitly presented, and two evaluation approaches, i.e. a compact Gaussian-Hermite quadrature method and an effective iterative algorithm, are proposed. The accuracy and efficiency of the proposed approaches are analysed, and a guideline is provided for their application. By employing the proposed evaluation approaches, results and demonstrations are presented, which display the implied effects of the corresponding parameters on the system outage performance, and reveal the potential to facilitate the design and analysis of such composite diversity systems.
  • Keywords
    Gaussian channels; diversity reception; fading channels; integration; iterative methods; probability; compact Gaussian-Hermite quadrature method; composite macroscopic diversity system; composite microscopic diversity system; correlated shadowed fading channel; iterative algorithm; macrolevel correlation; microlevel correlation; outage probability; Diversity reception; Fading channles; Microscopy; Shadow mapping; Signal to noise ratio; Nakagami-log-normal; composite diversity; maximal ratio combining; outage probability; selection combining; shadowing correlation;
  • fLanguage
    English
  • Journal_Title
    Communications, China
  • Publisher
    ieee
  • ISSN
    1673-5447
  • Type

    jour

  • DOI
    10.1109/CC.2013.6674217
  • Filename
    6674217