The η — μ / inverse gamma composite fading model

Seong Ki Yoo; Paschalis Sofotasios; Simon Cotton; Michail Matthaiou; Mikko Valkama; George Karagiannidis

doi:10.1109/PIMRC.2015.7343288

The η — μ / inverse gamma composite fading model

Seong Ki Yoo, Paschalis Sofotasios, Simon Cotton, Michail Matthaiou, Mikko Valkama, George Karagiannidis

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

28 Citations (Scopus)

59 Downloads (Pure)

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 language	English
Title of host publication	2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)
Publisher	IEEE
Pages	166-170
Number of pages	5
ISBN (Electronic)	9781467367820
DOIs	https://doi.org/10.1109/PIMRC.2015.7343288
Publication status	Published - 3 Dec 2015
Externally published	Yes
Event	26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications - Hong Kong, China Duration: 30 Aug 2015 → 2 Sept 2015

Conference

Conference	26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications
Abbreviated title	PIMRC 2015
Country/Territory	China
City	Hong Kong
Period	30/08/15 → 2/09/15

Bibliographical note

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any
copyrighted component of this work in other works.

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Yoo, SK, Sofotasios, P, Cotton, S, Matthaiou, M, Valkama, M & Karagiannidis, G 2015, The η — μ / inverse gamma composite fading model. in 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, pp. 166-170, 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications , Hong Kong, China, 30/08/15. https://doi.org/10.1109/PIMRC.2015.7343288

@inproceedings{35c8551fd5304adcb33f2f744bd09c95,

title = "The η — μ / inverse gamma composite fading model",

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.",

author = "Yoo, {Seong Ki} and Paschalis Sofotasios and Simon Cotton and Michail Matthaiou and Mikko Valkama and George Karagiannidis",

note = "{\textcopyright} 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. ; 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications , PIMRC 2015 ; Conference date: 30-08-2015 Through 02-09-2015",

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AU - Cotton, Simon

AU - Matthaiou, Michail

AU - Valkama, Mikko

AU - Karagiannidis, George

N1 - © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2015/12/3

Y1 - 2015/12/3

N2 - 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.

AB - 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.

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BT - 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)

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T2 - 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications

Y2 - 30 August 2015 through 2 September 2015

ER -

The η — μ / inverse gamma composite fading model

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