An acceleration approach for channel deterministic approaches based on quasi-stationary regions in V2X communications

dc.contributor.authorRodríguez Corbo, Fidel Alejandro
dc.contributor.authorCelaya Echarri, Mikel
dc.contributor.authorShubair, Raed M.
dc.contributor.authorFalcone Lanas, Francisco
dc.contributor.authorAzpilicueta Fernández de las Heras, Leyre
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoa eta Telekomunikazio Ingeniaritzaeu
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.date.accessioned2024-09-27T11:44:43Z
dc.date.available2024-09-27T11:44:43Z
dc.date.issued2024
dc.date.updated2024-09-27T11:38:37Z
dc.description.abstractVehicular environments are characterized by a high mobility, which alongside with the presence of abundant dynamic scatterers, lead to vehicular communication channels to be intrinsically non-stationary. In this sense, the quasi-stationary regions (QSRs) can assess the degree of non-stationarity within a determined scenario, and ultimately assist geometrical models to increase channel sampling intervals or to develop more efficient hybrid stochastic-geometric channel models. In this work, the channel QSRs in a vehicular communication (V2X) generic highdense urban environment at millimeter wave (mmWave) frequencies (28 GHz) have been analyzed using different approaches, such as the extended channel response into a Doppler-delay domain or the shadow fading spatial auto-correlation function (SF ACF) methodology. Then, the QSRs have been used as sampling distance in an in-house developed three-dimensional ray-launching (3D-RL) algorithm as an acceleration approach. The time variant channel features have been extracted and compared with the full resolution approach, obtaining consistent results when considering the QSR sampling distances, while decreasing by 83.30% the simulation computational time for the Doppler-delay approach, and 92.86% for the SF ACF method.en
dc.description.sponsorshipThis work was supported by MCIN/AEI/10.13039/501100011033 and NextGenerationEU/PRTR [Grant No. RYC2021-031949-I].
dc.format.mimetypeapplication/pdfen
dc.identifier.citationRodríguez-Corbo, F. A. Celaya-Echarri, M., Shubair, R. M., Falcone F., Azpilicueta L. (2024. An acceleration approach for channel deterministic approaches based on quasi-stationary regions in V2X communications. IEEE Transactions on Vehicular Technology, 1-13. https://doi.org/10.1109/TVT.2024.3449768.
dc.identifier.doi10.1109/TVT.2024.3449768
dc.identifier.issn0018-9545
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/51847
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofIEEE Transactions on Vehicular Technology (2024), vol. 20, núm. 10
dc.relation.publisherversionhttps://doi.org/10.1109/TVT.2024.3449768
dc.rights© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other work
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectNon-stationaryen
dc.subject3D ray-launchingen
dc.subjectQuasistationary regionsen
dc.subjectGeometric channel modelsen
dc.subjectVehicular communicationsen
dc.subjectmmWaveen
dc.subjectV2Xen
dc.titleAn acceleration approach for channel deterministic approaches based on quasi-stationary regions in V2X communicationsen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication76e71cd0-97ce-493a-853e-90a8d37d04c6
relation.isAuthorOfPublication69667b5c-e390-42d4-bc71-9f256c1b7b85
relation.isAuthorOfPublication00915558-0f9a-4e8e-a04c-8a7eaa1629da
relation.isAuthorOfPublication.latestForDiscovery76e71cd0-97ce-493a-853e-90a8d37d04c6

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