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**Harvard**

Yoo, S., Cotton, S., Sofotasios, P., Matthaiou, M., Valkama, M. och Karagiannidis, G. (2015) *The K - μ / inverse gamma fading model*.

** BibTeX **

@conference{

Yoo2015,

author={Yoo, S.K. and Cotton, S.L. and Sofotasios, P.C. and Matthaiou, Michail and Valkama, M. and Karagiannidis, G.K.},

title={The K - μ / inverse gamma fading model},

booktitle={IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC},

isbn={978-146736782-0},

pages={425-429},

abstract={© 2015 IEEE. 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.},

year={2015},

}

** RefWorks **

RT Conference Proceedings

SR Electronic

ID 232671

A1 Yoo, S.K.

A1 Cotton, S.L.

A1 Sofotasios, P.C.

A1 Matthaiou, Michail

A1 Valkama, M.

A1 Karagiannidis, G.K.

T1 The K - μ / inverse gamma fading model

YR 2015

T2 IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC

SN 978-146736782-0

SP 425

OP 429

AB © 2015 IEEE. 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.

LA eng

DO 10.1109/PIMRC.2015.7343336

LK http://dx.doi.org/10.1109/PIMRC.2015.7343336

OL 30