Theκ-μ/ inverse gamma andη-μ/ inverse gamma composite fading models are presented and extensively investigated in this paper. We derive closed-form expressions for the fundamental statistics of theκ-μ/ inverse gamma composite fading model, such as the probability density function (PDF), cumulative distribution function (CDF). Additionally, we solve the associated integral that is commonly used to obtain the moment generating function (MGF) of statistical distributions to provide an MGF-type function which is valid for performance analysis over the specified parameter space. Analytic expressions for the PDF, higher order moments and AF are also derived for theη-μ/ inverse gamma composite fading model, while infinite series expressions are obtained for the corresponding CDF and MGF-type function. The suitability of the new models for characterizing composite fading channels is demonstrated through a series of extensive field measurements for wearable, cellular, and vehicular communications. For all of the measurements, two propagation geometry problems with special relevance to the two new composite fading models, namely the line-of-sight (LOS) and non-LOS (NLOS) channel conditions, are considered. It is found that both theκ-μ/ inverse gamma andη-μ/ inverse gamma composite fading models provide an excellent fit to fading conditions encountered in the field. The goodness-of-fit of these two composite fading models is also evaluated and compared using the resistor-average distance. As a result, it is shown that theκ-μ/ inverse gamma composite fading model provides a better fit compared to theη-μ/ inverse gamma composite fading model when strong dominant signal components exist. On the contrary, theη-μ/ inverse gamma composite fading model outperforms theκ-μ/ inverse gamma composite fading model when there is no strong dominant signal component and/or the parameterηis not equal to unity, indicating that the scattered wave power of the in-phase and quadrature components of each cluster of multipath are not identical.
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Yoo et al. (2017) studied this question.