2017
DOI: 10.1109/twc.2017.2712640
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Analytical Characterization of Device-to-Device and Cellular Networks Coexistence

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Cited by 15 publications
(9 citation statements)
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“…We consider the dynamic PPP downlink cellular-network shown in Fig.1 in which the locations of BSs are distributed as a homogeneous Poisson point process (HPPP) with density λ. A typical user is assumed to be randomly located, according to an independent stationary point process in a Voronoi cell, and has a connection with the closest BS [33]. In addition, we assume that all BSs transmit at constant power and each BS, serving one mobile station (MS), use the same radio resource.…”
Section: System Modelmentioning
confidence: 99%
“…We consider the dynamic PPP downlink cellular-network shown in Fig.1 in which the locations of BSs are distributed as a homogeneous Poisson point process (HPPP) with density λ. A typical user is assumed to be randomly located, according to an independent stationary point process in a Voronoi cell, and has a connection with the closest BS [33]. In addition, we assume that all BSs transmit at constant power and each BS, serving one mobile station (MS), use the same radio resource.…”
Section: System Modelmentioning
confidence: 99%
“…To this end, κ-µ shadowed distribution is widely used in literature for modeling composite fading/shadowing. It has a clear physical interpretation, good analytical properties and unifies popular fading models such as One-Side Gaussian, Rayleigh, Nakagami-m, Rician, κ-µ, and η-μ fading channels as special cases as reported in [37] and [38,Table. I].…”
Section: B Motivation and Contributionmentioning
confidence: 86%
“…To this end, κ − µ shadowed distribution is widely used in literature for modeling composite fading/shadowing. It has a clear physical interpretation, good analytical properties and unifies popular fading models such as One-Side Gaussian, Rayleigh, Nakagami-m, Rician, κ-µ, and η-μ fading channels as special cases [28], and [29, Table . I]. To the best of our knowledge, no prior work in literature has derived an analytical framework for studying RIS-assisted wireless communication systems in the more generalized κ-µ shadowed fading channel.…”
Section: B Motivation and Contributionmentioning
confidence: 99%
“…The κ-µ shadowed model has an additional parameter ω, as compared to κ-µ model, which is related to shadowing. Consequently, it has a clear physical interpretation, flexible analytical properties and can represent common fading models such as One-Side Gaussian, Rayleigh, Nakagami-m, Rician, κ-µ, and η-μ fading channels as special cases [28], [29,Table. I].…”
Section: B Channel Modelmentioning
confidence: 99%