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The Double Shadowed κ-μ Fading Model

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

Details

Original languageEnglish
Title of host publication2019 International Conference on Wireless and Mobile Computing, Networking and Communications, WiMob 2019
PublisherIEEE
ISBN (Electronic)9781728133164
DOIs
Publication statusPublished - 1 Oct 2019
Publication typeA4 Article in a conference publication
EventInternational Conference on Wireless and Mobile Computing, Networking and Communications - Barcelona, Spain
Duration: 21 Oct 201923 Oct 2019
Conference number: 15

Publication series

NameInternational Conference on Wireless and Mobile Computing, Networking and Communications
ISSN (Print)2161-9646
ISSN (Electronic)2161-9654

Conference

ConferenceInternational Conference on Wireless and Mobile Computing, Networking and Communications
Abbreviated titleWiMob
CountrySpain
CityBarcelona
Period21/10/1923/10/19

Abstract

In this paper, we introduce a new fading model which is capable of characterizing both the shadowing of the dominant component and composite shadowing which may exist in wireless channels. More precisely, this new model assumes a κ-μ envelope where the dominant component is fluctuated by a Nakagami-m random variable (RV) which is preceded (or succeeded) by a secondary round of shadowing brought about by an inverse Nakagami-m RV. We conveniently refer to this as the double shadowed κ-μ fading model. In this context, novel closed-form and analytical expressions are developed for a range of channel related statistics, such as the probability density function, cumulative distribution function, and moments. All of the derived expressions have been validated through Monte-Carlo simulations and reduction to a number of well-known special cases. It is worth highlighting that the proposed fading model offers remarkable flexibility as it includes the κ-μ, η-μ, Rician shadowed, double shadowed Rician, κ-μ shadowed, κ-μ/inverse gamma and η-μ/inverse gamma distributions as special cases.