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

Content Provider	IEEE Xplore Digital Library
Author	Sofotasios, P.C. Tsiftsis, T.A. Ghogho, M. Wilhelmsson, L.R. Valkama, M.
Copyright Year	2013
Description	Author affiliation: Sch. of Electron. & Electr. Eng., Univ. of Leeds, Leeds, UK (Sofotasios, P.C.; Ghogho, M.) \|\| Dept. of Commun. Eng., Tampere Univ. of Technol., Tampere, Finland (Valkama, M.) \|\| Dept. of Electr. Eng., Technol. Educ. Inst. of Lamia, Lamia, Greece (Tsiftsis, T.A.) \|\| Ericsson Res., Lund, Sweden (Wilhelmsson, L.R.)
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.
Starting Page	5715
Ending Page	5719
File Size	177392
Page Count	5
File Format	PDF
ISBN	9781467331227
ISSN	15503607
DOI	10.1109/ICC.2013.6655506
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-09
Publisher Place	Hungary
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shadow mapping Rayleigh channels Wireless communication Mathematical model Digital communication Probability density function outage probability η−μ distribution inverse Gaussian distribution generalized multipath fading shadowing
Content Type	Text
Resource Type	Article

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