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dc.contributor.authorOlyaee, Maryam
dc.contributor.authorHashemi, Hadi
dc.contributor.authorRomero-Jerez, Juan M.
dc.date.accessioned2024-10-18T15:09:05Z
dc.date.available2024-10-18T15:09:05Z
dc.date.issued2024-03-18
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, vol. 72, no. 8, pp. 4677-4691, Aug. 2024, doi: 10.1109/TCOMM.2024.3377702es_ES
dc.identifier.urihttps://hdl.handle.net/10481/96101
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.sponsorshipJunta de Andalucia through project P21-00420 and also grant EMERGIA20-00297es_ES
dc.description.sponsorshipMCIN/AEI/10.13039/501100011033 through grant PID2020-118139RB-I00es_ES
dc.description.sponsorshipFunding for open access charge: Universidad de Málaga / CBUAes_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)es_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectMultipath fadinges_ES
dc.subjectIndependent fluctuating tworay (IFTR)es_ES
dc.subjectGamma distributiones_ES
dc.titleA Tractable Statistical Representation of IFTR Fading With Applicationses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1109/TCOMM.2024.3377702
dc.type.hasVersionVoRes_ES


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