The κ-μ / Inverse Gamma and η-μ / Inverse Gamma Composite Fading Models: Fundamental Statistics and Empirical Validation

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

Research output: Contribution to journalArticlepeer-review

43 Scopus citations

Abstract

The \kappa -\mu / inverse gamma and \eta -\mu / inverse gamma composite fading models are presented and extensively investigated in this paper. We derive closed-form expressions for the fundamental statistics of the \kappa -\mu / 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 the \eta -\mu / 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 the \kappa -\mu / inverse gamma and \eta -\mu / 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 the \kappa -\mu / inverse gamma composite fading model provides a better fit compared to the \eta -\mu / inverse gamma composite fading model when strong dominant signal components exist. On the contrary, the \eta -\mu / inverse gamma composite fading model outperforms the \kappa -\mu / inverse gamma composite fading model when there is no strong dominant signal component and/or the parameter \eta is 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.

Original languageBritish English
Article number8166770
Pages (from-to)5514-5530
Number of pages17
JournalIEEE Transactions on Communications
Volume69
Issue number8
DOIs
StatePublished - Aug 2021

Keywords

  • -μ fading model
  • -μ fading model
  • Channel modeling
  • composite fading channel
  • inverse gamma distribution
  • resistor-Average distance.

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