A PDF-based capacity analysis of diversity reception schemes over composite fading channels using a mixture gamma distribution

Jaehoon Jung, Sang Rim Lee, Haewook Park, Hoon Lee, Inkyu Lee

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Citations (Scopus)

    Abstract

    In this paper, we analyze the ergodic capacity performance for diversity reception schemes over composite fading channels using a mixture gamma (MG) distribution. By adopting the MG distribution, various composite fading channel models can be approximated with mathematically tractable and highly accurate properties. In other words, signal- to-noise ratio statistics which contain complicated functions for each diversity reception scheme are formulated as a weighted sum of gamma distributions. With an aid of properties of the gamma distribution, we can derive closed-form expressions of an ergodic capacity for important diversity reception schemes such as maximal ratio combining and selection combining. We observe that our analysis can be expressed with the general number of receiver branches over various composite fading conditions. Simulation results verify that the derived ergodic capacity expressions match well with the empirical results.

    Original languageEnglish
    Title of host publication2014 IEEE 80th Vehicular Technology Conference, VTC2014-Fall, Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781479944491, 9781479944491
    DOIs
    Publication statusPublished - 2014 Nov 24
    Event80th IEEE Vehicular Technology Conference, VTC 2014-Fall - Vancouver, Canada
    Duration: 2014 Sept 142014 Sept 17

    Publication series

    NameIEEE Vehicular Technology Conference
    ISSN (Print)1550-2252

    Conference

    Conference80th IEEE Vehicular Technology Conference, VTC 2014-Fall
    Country/TerritoryCanada
    CityVancouver
    Period14/9/1414/9/17

    Bibliographical note

    Publisher Copyright:
    © 2014 IEEE.

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics

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