A Tractable Statistical Representation of IFTR Fading with Applications

dc.centroE.T.S.I. Telecomunicaciónes_ES
dc.contributor.authorOlyaee, Maryam
dc.contributor.authorHashemi, Hadi
dc.contributor.authorRomero-Jerez, Juan Manuel
dc.date.accessioned2024-04-12T09:24:35Z
dc.date.available2024-04-12T09:24:35Z
dc.date.issued2023-07-12
dc.departamentoTecnología Electrónica
dc.description.abstractThe recently introduced independent fluctuating two-ray (IFTR) fading model, consisting of two specular components fluctuating independently plus a diffuse component, has proven to provide an excellent fit to different wireless environments, including the millimeter-wave band. However, the original formulations of the probability density function (PDF) and cumulative distribution function (CDF) of this model are not applicable to all possible values of its defining parameters, and are given in terms of multifold generalized hypergeometric functions, which prevents their widespread use for the derivation of performance metric expressions. A new formulation of the IFTR model is here presented as a countable mixture of Gamma distributions which greatly facilitates the performance evaluation for this model in terms of the metrics already known for the much simpler and widely used Nakagami- m fading, and is shown to provide a better fit to empirical measurements than the original formulation. Additionally, a closed-form expression is presented for the generalized moment generating function (GMGF), which permits to readily obtain all the moments of the distribution of the model, as well as several relevant performance metrics. Based on these new derivations, performance results are presented for the IFTR model considering different metrics, which are verified by Monte Carlo simulations.es_ES
dc.description.sponsorshipFunding for open access charge: Universidad de Málagaes_ES
dc.identifier.citationM. Olyaee, H. Hashemi and J. M. Romero-Jerez, "A Tractable Statistical Representation of IFTR Fading with Applications," in IEEE Transactions on Communications,es_ES
dc.identifier.doi10.1109/TCOMM.2024.3377702
dc.identifier.urihttps://hdl.handle.net/10630/31005
dc.language.isoenges_ES
dc.publisherIEEEes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectMontecarlo, Método dees_ES
dc.subjectModelos matemáticoses_ES
dc.subjectDistribución (Teoría de probabilidades)es_ES
dc.subject.otherMultipath fadinges_ES
dc.subject.otherIndependent Fluctuating Two-Ray (IFTR)es_ES
dc.subject.otherGamma Distributiones_ES
dc.subject.otherGeneralized Moment Generating Functiones_ES
dc.subject.otherFading channelses_ES
dc.subject.otherMeasurementes_ES
dc.subject.otherWireless communicationes_ES
dc.subject.otherNumerical modelses_ES
dc.subject.otherAnalytical modelses_ES
dc.subject.otherProbability density functiones_ES
dc.titleA Tractable Statistical Representation of IFTR Fading with Applicationses_ES
dc.typejournal articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
relation.isAuthorOfPublicationd4849f8f-c195-42d9-a3ea-6509f797808e
relation.isAuthorOfPublication.latestForDiscoveryd4849f8f-c195-42d9-a3ea-6509f797808e

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