Stochastic verification of the first-order Markovian assumption of rain attenuation for satellite channel dynamic modeling

Drougas, AE; Panagopoulos, AD; Cottis, PG

dc.contributor.author	Drougas, AE	en
dc.contributor.author	Panagopoulos, AD	en
dc.contributor.author	Cottis, PG	en
dc.date.accessioned	2014-03-01T01:29:14Z
dc.date.available	2014-03-01T01:29:14Z
dc.date.issued	2008	en
dc.identifier.issn	1089-7798	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19175
dc.subject	Lognormal channels	en
dc.subject	Markov modeling	en
dc.subject	Rain attenuation	en
dc.subject	Satellite communications	en
dc.subject.classification	Telecommunications	en
dc.subject.other	Electromagnetic wave attenuation	en
dc.subject.other	Information theory	en
dc.subject.other	Markov processes	en
dc.subject.other	Rain	en
dc.subject.other	Stochastic models	en
dc.subject.other	Stochastic programming	en
dc.subject.other	Auto-correlation function	en
dc.subject.other	Dynamic behaviours	en
dc.subject.other	Dynamic modelling	en
dc.subject.other	Experimental data	en
dc.subject.other	First orders	en
dc.subject.other	First-order Markov model	en
dc.subject.other	Information-theoretic metrics	en
dc.subject.other	Lognormal channels	en
dc.subject.other	Markov modeling	en
dc.subject.other	Markovian	en
dc.subject.other	Rain attenuation	en
dc.subject.other	Satellite channels	en
dc.subject.other	Satellite communications	en
dc.subject.other	Stochastic analysis	en
dc.subject.other	Parameter estimation	en
dc.title	Stochastic verification of the first-order Markovian assumption of rain attenuation for satellite channel dynamic modeling	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/LCOMM.2008.080813	en
heal.identifier.secondary	http://dx.doi.org/10.1109/LCOMM.2008.080813	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	In this Letter, the first-order Markovian assumption for the description of the dynamic behaviour of rain attenuation is validated by means of information theoretic metrics. An accurate first-order Markov model with parameters calculated by physical inputs is also presented. The proposed method is verified by a stochastic analysis of the first-order distribution and the autocorrelation function (ACF) of the model compared to experimental data. © 2008 IEEE.	en
heal.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC	en
heal.journalName	IEEE Communications Letters	en
dc.identifier.doi	10.1109/LCOMM.2008.080813	en
dc.identifier.isi	ISI:000259192100019	en
dc.identifier.volume	12	en
dc.identifier.issue	9	en
dc.identifier.spage	663	en
dc.identifier.epage	665	en