The kappa-mu distribution and the eta-mu distribution

dc.creatorYacoub, MD
dc.date2007
dc.dateFEB
dc.date2014-11-14T13:42:03Z
dc.date2015-11-26T16:06:50Z
dc.date2014-11-14T13:42:03Z
dc.date2015-11-26T16:06:50Z
dc.date.accessioned2018-03-28T22:55:39Z
dc.date.available2018-03-28T22:55:39Z
dc.identifierIeee Antennas And Propagation Magazine. Ieee-inst Electrical Electronics Engineers Inc, v. 49, n. 1, n. 68, n. 81, 2007.
dc.identifier1045-9243
dc.identifierWOS:000246806700007
dc.identifier10.1109/MAP.2007.370983
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/73581
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/73581
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/73581
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1266013
dc.descriptionThis paper presents two general fading distributions, the kappa-mu distribution and the eta-mu distribution, for which fading models are proposed. These distributions are fully characterized in terms of measurable physical parameters. The kappa-mu distribution includes the Rice (Nakagami-n), the Nakagami-m, the Rayleigh, and the One-Sided Gaussian distributions as special cases. The eta-mu distribution includes the Hoyt (Nakagami-q), the Nakagami-m, the Rayleigh, and the One-Sided Gaussian distributions as special cases. Field measurement campaigns were used to validate these distributions. It was observed that their fit to experimental data outperformed that provided by the widely known fading distributions, such as the Rayleigh, Rice, and Nakagami-m. In particular, the kappa-mu distribution is better suited for line-of-sight applications, whereas the eta-mu distribution gives better results for non-line-of-sight applications.
dc.description49
dc.description1
dc.description68
dc.description81
dc.languageen
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.publisherPiscataway
dc.publisherEUA
dc.relationIeee Antennas And Propagation Magazine
dc.relationIEEE Antennas Propag. Mag.
dc.rightsfechado
dc.rightshttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dc.sourceWeb of Science
dc.subjectfading channels
dc.subjectGaussian distribution
dc.subjectRayleigh distributions
dc.subjectnakagami-m distribution
dc.subjectrice distribution
dc.subjectHoyt distribution
dc.subjectNakagami-q distribution
dc.subjectprobability
dc.subjectRadio Channel
dc.subjectApproximation
dc.subjectPropagation
dc.subjectModel
dc.subjectSum
dc.titleThe kappa-mu distribution and the eta-mu distribution
dc.typeArtículos de revistas


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