The η − µ / Inverse Gamma Composite Fading Model

Seong Ki Yoo, Paschalis C. Sofotasios, Simon L. Cotton, Michail Matthaiou, Mikko Valkama, George K. Karagiannidis

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    20 Citations (Scopus)

    Abstract

    In this paper we propose a new composite fading model which assumes that the mean signal power of an η - μ signal envelope follows an inverse gamma distribution. The inverse gamma distribution has a simple relationship with the gamma distribution and can be used to model shadowed fading due to its semi heavy-tailed characteristics. To demonstrate the utility of the new η - μ / inverse gamma composite fading model, we investigate the characteristics of the shadowed fading behavior observed in body centric communications channels which are known to be susceptible to shadowing effects, particularly generated by the human body. It is shown that the η - μ / inverse gamma composite fading model provided an excellent fit to the measurement data. Moreover, using Kullback-Leibler divergence, the η - μ / inverse gamma composite fading model was found to provide a better fit to the measured data than the k - μ / inverse gamma composite fading model, for the communication scenarios considered here.
    Original languageEnglish
    Title of host publication2015 IEEE 26th International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)
    PublisherIEEE
    Pages978-982
    Number of pages5
    ISBN (Print)978-1-4673-6781-3
    DOIs
    Publication statusPublished - 2015
    Publication typeA4 Article in a conference publication
    EventIEEE International Symposium on Personal, Indoor and Mobile Radio Communications -
    Duration: 1 Jan 1900 → …

    Conference

    ConferenceIEEE International Symposium on Personal, Indoor and Mobile Radio Communications
    Period1/01/00 → …

    Publication forum classification

    • Publication forum level 1

    Fingerprint

    Dive into the research topics of 'The η − µ / Inverse Gamma Composite Fading Model'. Together they form a unique fingerprint.

    Cite this