The η-μ/IG distribution: A novel physical multipath/shadowing fading model

Paschalis C. Sofotasios, Theodoros A. Tsiftsis, Mounir Ghogho, Leif R. Wilhelmsson, Mikko Valkama

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

44 Scopus citations

Abstract

The aim of this work is the formulation and derivation of the η-μ/Inverse Gaussian composite distribution which corresponds to a physical fading model. The η-μ distribution is a generalized small-scale fading model which accounts effectively for non-line-of-sight scenarios and includes as special cases the widely known Nakagami-m, Rayleigh, Hoyt and one sided Gaussian distributions. Similarly, the inverse Gaussian (IG) distribution is a convenient model which was recently shown to characterize shadowing more efficiently than the widely used gamma distribution. To this effect, the proposed η-μ/IG model provides an overall efficient characterization of multipath and shadowing effects which typically occur simultaneously. The offered modelling accuracy is achieved thanks to the remarkable flexibility of its parameters. This is also verified by the fact that the proposed model is capable of providing good fittings to experimental data that correspond to realistic wireless communication scenarios while they include as special cases the widely known Nakagami-m/IG, Rayleigh/IG and Hoyt/IG composite fading models. Novel analytic expressions are derived for the envelope and power probability density function (pdf) of the η-μ/IG model. The derived expressions can be utilized in various studies in radio communications, free space optical communications and ultrasound imaging, among others. Indicatively, an analytic expression is derived for the outage probability (OP) of η-μ/IG fading channels.

Original languageBritish English
Title of host publication2013 IEEE International Conference on Communications, ICC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5715-5719
Number of pages5
ISBN (Print)9781467331227
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Communications, ICC 2013 - Budapest, Hungary
Duration: 9 Jun 201313 Jun 2013

Publication series

NameIEEE International Conference on Communications
ISSN (Print)1550-3607

Conference

Conference2013 IEEE International Conference on Communications, ICC 2013
Country/TerritoryHungary
CityBudapest
Period9/06/1313/06/13

Keywords

  • generalized multipath fading
  • inverse Gaussian distribution
  • outage probability
  • shadowing
  • η-μ distribution

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