Please use this identifier to cite or link to this item: https://scholarhub.balamand.edu.lb/handle/uob/2571
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dc.contributor.authorDaba, Jihad S.en_US
dc.date.accessioned2020-12-23T09:15:52Z-
dc.date.available2020-12-23T09:15:52Z-
dc.date.issued2015-
dc.identifier.urihttps://scholarhub.balamand.edu.lb/handle/uob/2571-
dc.description.abstractFading noise degrades the performance of cellular communication, most notably in femto- and pico-cells in 3G and 4G systems. When the wireless channel consists of a small number of scattering paths, the statistics of fading noise is not analytically tractable and poses a serious challenge to developing closed canonical forms that can be analysed and used in the design of efficient and optimal receivers. In this context, noise is multiplicative and is referred to as stochastically local fading. In many analytical investigation of multiplicative noise, the exponential or Gamma statistics are invoked. More recent advances by the author of this paper utilized a Poisson modulated-weighted generalized Laguerre polynomials with controlling parameters and uncorrelated noise assumptions. In this paper, we investigate the statistics of multidiversity stochastically local area fading channel when the channel consists of randomly distributed Rayleigh and Rician scattering centers with a coherent Nakagami-distributed line of sight component and an underlying doubly stochastic Poisson process driven by a lognormal intensity. These combined statistics form a unifying triply stochastic filtered marked Poisson point process model.en_US
dc.format.extent5 p.en_US
dc.language.isoengen_US
dc.subjectCellular communicationen_US
dc.subjectFemto- and pico-cellsen_US
dc.subjectStochastically local area fading channelen_US
dc.subjectTriply stochastic filtered marked Poisson point processen_US
dc.titleStatistical Modeling of Local Area Fading Channels Based on Triply Stochastic Filtered Marked Poisson Point Processesen_US
dc.typeJournal Articleen_US
dc.identifier.doi10.5281/zenodo.1110109-
dc.contributor.affiliationDepartment of Electrical Engineeringen_US
dc.description.volume9en_US
dc.description.issue7en_US
dc.description.startpage726en_US
dc.description.endpage731en_US
dc.date.catalogued2017-11-10-
dc.description.statusPublisheden_US
dc.identifier.OlibID174902-
dc.relation.ispartoftextInternational journal of electronics and communication engineeringen_US
dc.provenance.recordsourceOliben_US
Appears in Collections:Department of Electrical Engineering
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