The κ − µ / Inverse Gamma Fading Model

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

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

    23 Citations (Scopus)


    Statistical distributions have been extensively used in modeling fading effects in conventional and modern wireless communications. In the present work, we propose a novel κ - μ composite shadowed fading model, which is based on the valid assumption that the mean signal power follows the inverse gamma distribution instead of the lognormal or commonly used gamma distributions. This distribution has a simple relationship with the gamma distribution, but most importantly, its semi heavy-tailed characteristics constitute it suitable for applications relating to modeling of shadowed fading. Furthermore, the derived probability density function of the κ - μ / inverse gamma composite distribution admits a rather simple algebraic representation that renders it convenient to handle both analytically and numerically. The validity and utility of this fading model are demonstrated by means of modeling the fading effects encountered in body centric communications channels, which have been known to be susceptible to the shadowing effect. To this end, extensive comparisons are provided between theoretical and respective real-time measurement results. It is shown that these comparisons exhibit accurate fitting of the new model for various measurement set ups that correspond to realistic communication scenarios.
    Original languageEnglish
    Title of host publication2015 IEEE 26th International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC)
    Number of pages5
    ISBN (Print)978-1-4673-6781-3
    Publication statusPublished - 2015
    Publication typeA4 Article in conference proceedings
    EventIEEE International Symposium on Personal, Indoor and Mobile Radio Communications -
    Duration: 1 Jan 1900 → …


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

    Publication forum classification

    • Publication forum level 1


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

    Cite this