On the energy detection over generalized-K (K G) fading

Haroon Rasheed, Farah Haroon, Fumiyuki Adachi

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

    10 Citations (Scopus)

    Abstract

    In this paper, we present a new tractable expression for average probability of Energy Detection (ED) in generalized-K (K G) fading channel. ED has been proposed for spectrum sensing in cognitive radios and various wireless applications. A closed form solution for modeling ED under shadow-fading conditions using lognormal distribution is complicated and is the main drawback. In K G fading model, shadowing is modeled by Gamma probability density function (PDF) and Nakagami-m distribution is used to represent the small-scale random variations of the received signal envelope. By applying the alternative series representation of Marcum-Q function, We obtain a closed form expression for ED based average detection probability over K G fading. The derived expressions are validated, and analytical results are verified by numerical computations and simulations for scenarios of practical interest Further, these results are considered for performance analysis and improvement of sensing by varying parameters of K G fading channel under light and moderate shadowing.

    Original languageEnglish
    Title of host publicationProceedings of the 14th IEEE International Multitopic Conference 2011, INMIC 2011
    Pages367-371
    Number of pages5
    DOIs
    Publication statusPublished - 2011 Dec 1
    Event14th IEEE International Multitopic Conference 2011, INMIC 2011 - Karachi, Pakistan
    Duration: 2011 Dec 222011 Dec 24

    Publication series

    NameProceedings of the 14th IEEE International Multitopic Conference 2011, INMIC 2011

    Other

    Other14th IEEE International Multitopic Conference 2011, INMIC 2011
    Country/TerritoryPakistan
    CityKarachi
    Period11/12/2211/12/24

    Keywords

    • Energy Detection
    • Generalized-K (K ) fading
    • Marcum-Q function
    • Shadowing
    • Spectrum Sensing

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

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