Satellite-Terrestrial Channel Characterization in High-Speed Railway Environment at 22.6 GHz

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dc.contributor.authorMa, Leiko
dc.contributor.authorGuan, Keko
dc.contributor.authorYan, Dongko
dc.contributor.authorHe, Danpingko
dc.contributor.authorLeonor, Nuno R.ko
dc.contributor.authorAi, Boko
dc.contributor.authorKim, Junhyeongko
dc.date.accessioned2021-03-26T03:34:31Z-
dc.date.available2021-03-26T03:34:31Z-
dc.date.created2020-05-18-
dc.date.issued2020-03-
dc.identifier.citationRADIO SCIENCE, v.55, no.3-
dc.identifier.issn0048-6604-
dc.identifier.urihttp://hdl.handle.net/10203/282074-
dc.description.abstractThe integration of satellite and terrestrial communication systems plays a vital role in the fifth-generation mobile communication system (5G) for the ubiquitous coverage, reliable service, and flexible networking. Moreover, the millimeter wave (mmWave) communication with large bandwidth is a key enabler for 5G intelligent rail transportation. In this paper, the satellite-terrestrial channel at 22.6 GHz is characterized for a typical high-speed railway (HSR) environment. The three-dimensional model of the railway scenario is reconstructed and imported into the Cloud Ray-Tracing (CloudRT) simulation platform. Based on extensive ray-tracing simulations, the channel for the terrestrial HSR system and the satellite-terrestrial system with two weather conditions are characterized, and the interference between them are evaluated. The results of this paper can help for the design and evaluation for the satellite-terrestrial communication system enabling future intelligent rail transportation.-
dc.languageEnglish-
dc.publisherAMER GEOPHYSICAL UNION-
dc.titleSatellite-Terrestrial Channel Characterization in High-Speed Railway Environment at 22.6 GHz-
dc.typeArticle-
dc.identifier.wosid000529234400006-
dc.identifier.scopusid2-s2.0-85082627985-
dc.type.rimsART-
dc.citation.volume55-
dc.citation.issue3-
dc.citation.publicationnameRADIO SCIENCE-
dc.identifier.doi10.1029/2019RS006995-
dc.contributor.nonIdAuthorMa, Lei-
dc.contributor.nonIdAuthorGuan, Ke-
dc.contributor.nonIdAuthorYan, Dong-
dc.contributor.nonIdAuthorHe, Danping-
dc.contributor.nonIdAuthorLeonor, Nuno R.-
dc.contributor.nonIdAuthorAi, Bo-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordPlusMIMO-
dc.subject.keywordPlusEFFICIENT-
dc.subject.keywordPlusNETWORKS-
dc.subject.keywordPlusMODELS-
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