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dc.contributor.authorSalam, A.O.A.
dc.contributor.authorSheriff, Ray E.
dc.contributor.authorAl-Araji, S.R.
dc.contributor.authorMezher, K.
dc.contributor.authorNasir, Q.
dc.date.accessioned2017-10-18T15:48:29Z
dc.date.available2017-10-18T15:48:29Z
dc.date.issued2017-10-11
dc.identifier.citationSalam AOA, Sheriff RE, Al-Araji SR, Mezher K and Nasir Q. (2017) Novel Approach for Modeling Wireless Fading Channels using a Finite State Markov Chain. ETRI Journal. 39(5): 718-728.en_US
dc.identifier.urihttp://hdl.handle.net/10454/13465
dc.descriptionyesen_US
dc.description.abstractEmpirical modeling of wireless fading channels using common schemes such as autoregression and thefinitestate Markov chain (FSMC) is investigated. The conceptual background of both channel structures and the establishment of their mutual dependence in a confined manner are presented. The novel contribution lies in the proposal of a new approach for deriving the state transition probabilities borrowed from economic disciplines, which has not been studied so far with respect to the modeling of FSMC wireless fading channels. The proposed approach is based on equal portioning of the received signal-to-noise ratio, realized by using an alternative probability construction that was initially highlighted by Tauchen. The associated statistical procedure shows that afirst-order FSMC with a limited number of channel states can satisfactorily approximate fading. The computational overheads of the proposed technique are analyzed andproven to be less demanding compared to the conventional FSMC approach based on the levelcrossing rate. Simulations confirm the analytical results and promising performance of the new channel modelbased on the Tauchen approach without extracomplexity costs.en_US
dc.language.isoenen_US
dc.relation.isreferencedbyhttps://doi.org/10.4218/etrij.17.0117.0246en_US
dc.rights© 2017, ETRI. Published by Wiley. This is an Open Access article distributed under the term of Korea Open Government License (KOGL) Type 4: Source Indication + Commercial Use Prohibition + Change Prohibition (http://www.kogl.or.kr/news/dataView.do?data Idx=97).en_US
dc.subjectAutoregressive (AR); Finite state Markov chain (FSMC); Multipath fading; Tauchen modeling; Wireless channelsen_US
dc.titleNovel Approach for Modeling Wireless Fading Channels using a Finite State Markov Chainen_US
dc.status.refereedYesen_US
dc.date.Accepted2017-07-03
dc.typeArticleen_US
dc.type.versionPublished versionen_US
refterms.dateFOA2018-07-27T02:11:17Z


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