New Closed-Form Results on Ordered Statistics of Partial Sums of Gamma Random Variables and Its Application to Performance Evaluation in the Presence of Nakagami Fading

Sung Sik Nam, Young Chai Ko, Mohamed Slim Alouini

    Research output: Contribution to journalArticlepeer-review

    8 Citations (Scopus)

    Abstract

    Complex wireless transmission systems require multi-dimensional joint statistical techniques for performance evaluation. Here, we first present the exact closed-form results on order statistics of any arbitrary partial sums of gamma random variables with the closed-form results of core functions specialized for independent and identically distributed Nakagami-m fading channels based on a moment generating function-based unified analytical framework. These both exact closed-form results have never been published in the literature. In addition, as a feasible application example in which our new offered derived closed-form results can be applied is presented. In particular, we analyze the outage performance of the finger replacement schemes over Nakagami fading channels as an application of our method. Note that these analysis results are directly applicable to several applications, such as millimeter-wave communication systems in which an antenna diversity scheme operates using a finger replacement schemes-like combining scheme, and other fading scenarios. Note also that the statistical results can provide potential solutions for ordered statistics in any other research topics based on gamma distributions or other advanced wireless communications research topics in the presence of Nakagami fading.

    Original languageEnglish
    Article number7953495
    Pages (from-to)12820-12832
    Number of pages13
    JournalIEEE Access
    Volume5
    DOIs
    Publication statusPublished - 2017 Jun 17

    Keywords

    • Fading channels
    • Nakagami-m fading
    • order statistics
    • outage performance
    • partial sums

    ASJC Scopus subject areas

    • General Computer Science
    • General Materials Science
    • General Engineering

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