Advances in the Statistical Characterization of Fading: From 2005 to Present

This review paper presents some of the most significant advances in statistical characterization of wireless communication fading. We will focus on the fundamental statistical characterizations of the fading distributions in terms of the probability density function (PDF), the cumulative density fun...

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Main Author: José F. Paris
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:International Journal of Antennas and Propagation
Online Access:http://dx.doi.org/10.1155/2014/258308
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author José F. Paris
author_facet José F. Paris
author_sort José F. Paris
collection DOAJ
description This review paper presents some of the most significant advances in statistical characterization of wireless communication fading. We will focus on the fundamental statistical characterizations of the fading distributions in terms of the probability density function (PDF), the cumulative density function (CDF), and the moment generating function (MGF). The period from 2005 to present will be considered in order to complement the information which can be found in the specialized literature like Simon and Alouini’s book on digital communications over fading channels. We present both the advances on classical fading models and a brief summary of some selected new fading models. Some open problems in the field will be also stated.
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spelling doaj-art-ee1cec8edb354ed8a48f02bf97cba40d2025-02-03T01:30:26ZengWileyInternational Journal of Antennas and Propagation1687-58691687-58772014-01-01201410.1155/2014/258308258308Advances in the Statistical Characterization of Fading: From 2005 to PresentJosé F. Paris0Departamento Ingeniería de Comunicaciones, Universidad de Málaga, 29071 Málaga, SpainThis review paper presents some of the most significant advances in statistical characterization of wireless communication fading. We will focus on the fundamental statistical characterizations of the fading distributions in terms of the probability density function (PDF), the cumulative density function (CDF), and the moment generating function (MGF). The period from 2005 to present will be considered in order to complement the information which can be found in the specialized literature like Simon and Alouini’s book on digital communications over fading channels. We present both the advances on classical fading models and a brief summary of some selected new fading models. Some open problems in the field will be also stated.http://dx.doi.org/10.1155/2014/258308
spellingShingle José F. Paris
Advances in the Statistical Characterization of Fading: From 2005 to Present
International Journal of Antennas and Propagation
title Advances in the Statistical Characterization of Fading: From 2005 to Present
title_full Advances in the Statistical Characterization of Fading: From 2005 to Present
title_fullStr Advances in the Statistical Characterization of Fading: From 2005 to Present
title_full_unstemmed Advances in the Statistical Characterization of Fading: From 2005 to Present
title_short Advances in the Statistical Characterization of Fading: From 2005 to Present
title_sort advances in the statistical characterization of fading from 2005 to present
url http://dx.doi.org/10.1155/2014/258308
work_keys_str_mv AT josefparis advancesinthestatisticalcharacterizationoffadingfrom2005topresent