Efficient equalisers for OFDM and DFrFT-OCDM multicarrier systems in mobile E-health video broadcasting with machine learning perspectives

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dc.authoridhttps://orcid.org/0000-0002-2881-8635en_US
dc.authoridhttps://orcid.org/0000-0002-3055-9900en_US
dc.authoridhttps://orcid.org/0000-0003-2601-9327en_US
dc.contributor.authorAttar, Hani H.
dc.contributor.authorSolyman, Ahmad Amin Ahmad
dc.contributor.authorMohamed, Abd-Elnaser Fawzy
dc.contributor.authorKhosravi, Mohammad R.
dc.contributor.authorMenon, Varun G.
dc.contributor.authorBashir, Ali Kashif
dc.contributor.authorTavallali, Pooya
dc.date.accessioned2023-09-23T16:08:17Z
dc.date.available2023-09-23T16:08:17Z
dc.date.issued2020en_US
dc.departmentMühendislik ve Mimarlık Fakültesien_US
dc.description.abstractRecently, the orthogonal frequency-division multiplexing (OFDM) system has become an appropriate technique to be applied on the physical layer in various requests, mainly in wireless communication standards, which is the reason to use OFDM within mobile wireless medical applications. The OFDM with cyclic prefix (CP) can compensate lacks for the time-invariant multi-path channel effects using a single tap equaliser. However, for mobile wireless communication, such as the use of OFDM in ambulances, the Doppler shift is expected, which produces a doubly dispersive communication channel where a complex equaliser is needed. This paper proposes a low-complexity band LDLH factorisation equaliser to be applied in mobile medical communication systems. Moreover, the discrete fractional Fourier transform (DFrFT) is used to improve the communication system’s performance over the OFDM. The proposed low-complexity equaliser could improve the OFDM, and the DFrFT-orthogonal chirpdivision multiplexing (DFrFT-OCDM) system’s performance, as illustrated in the simulation results. This proves that the recommended system outperforms the standard benchmark system, which is an essential factor as it is to be applied within mobile medical systems.en_US
dc.identifier.doi10.1016/j.phycom.2020.101173en_US
dc.identifier.endpage10en_US
dc.identifier.issn1874-4907
dc.identifier.scopus2-s2.0-85088400826en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://hdl.handle.net/11363/5631
dc.identifier.urihttps://doi.org/
dc.identifier.volume42en_US
dc.identifier.wosWOS:000572964100008en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorSolyman, Ahmad Amin Ahmad
dc.language.isoenen_US
dc.publisherELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDSen_US
dc.relation.ispartofPhysical Communicationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectFactorisation equaliseren_US
dc.subjectDoppler shiften_US
dc.subjectCyclic prefixen_US
dc.subjectDoubly dispersive channelen_US
dc.subjectChannel modelen_US
dc.titleEfficient equalisers for OFDM and DFrFT-OCDM multicarrier systems in mobile E-health video broadcasting with machine learning perspectivesen_US
dc.typeArticleen_US

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