The η - μ / inverse gamma composite fading model
Paper in proceeding, 2015

© 2015 IEEE. 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.


S.K. Yoo

Queen's University Belfast

P. Sofotasios

Aristotle University of Thessaloniki

Tampere University of Technology

S.L. Cotton

Queen's University Belfast

Michail Matthaiou

Chalmers, Signals and Systems, Signal Processing and Biomedical Engineering

M. Valkama

Tampere University of Technology

G. K. Karagiannidis

Aristotle University of Thessaloniki

Khalifa University

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

2166-9570 (ISSN)

Vol. 2015-December 166-170
978-1-4673-6782-0 (ISBN)

Subject Categories

Electrical Engineering, Electronic Engineering, Information Engineering





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