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dc.creatorBanđur, Miloš V.
dc.creatorBanđur, Đoko V.
dc.creatorPopović, Brankica
dc.date.accessioned2019-03-21T16:02:24Z
dc.date.available2019-03-21T16:02:24Z
dc.date.issued2013
dc.identifier.urihttp://jakov.kpu.edu.rs/handle/123456789/502
dc.description.abstractIn wireless communication systems received signal may suffer from the both multipath fading (fading) and shadowing. In this paper, ascertaining on the suitability of the Weibull distribution to model fading channel and by utilizing the fact that the gamma distribution is more convenient for manipulation than the lognormal distribution, shadowed fading channel is modeled as the Weibull-gamma. The closed-form expressions for the probability density function (PDF) and cumulative distribution function (CDF) of the received signal are derived in terms of Bessel's and Meijer's G-functions, respectively. The synergy between the Weibull-gamma and the Weibull-lognormal model is explored and established by calculating the outage probability (Pout) and average bit error probability (ABEP). This is followed by the analysis carried out for the both fixed and random number of gamma shadowed Nakagami-m cochannel interferences (CCIs) in interference-plus-noise and interference-limited environment. The proposed mathematical analysis is complimented by various numerical results.en
dc.publisherIEEE, New York
dc.relationinfo:eu-repo/grantAgreement/MESTD/Technological Development (TD or TR)/32023/RS//
dc.rightsrestrictedAccess
dc.source2013 21st telecommunications forum (TELFOR)
dc.subjectShadowed fading channelen
dc.subjectWeibull-gamma modelen
dc.subjectoutage probabilityen
dc.subjectaverage bit erroren
dc.subjectcochannel interferencesen
dc.titleOutage probability analysis in shadowed fading channel with multiple cochannel interferencesacen
dc.typeconferenceObject
dc.rights.licenseARR
dcterms.abstractПоповић, Бранкица; Банђур, Ђоко В.; Банђур, Милош В.;
dc.citation.spage299
dc.citation.other: 299
dc.identifier.doi10.1109/TELFOR.2013.6716230
dc.identifier.scopus2-s2.0-84894375524
dc.identifier.wos000349857500071
dc.type.versionpublishedVersion


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