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dc.creatorAzpilicueta Fernández de las Heras, Leyrees_ES
dc.creatorVargas Rosales, Césares_ES
dc.creatorFalcone Lanas, Franciscoes_ES
dc.date.accessioned2024-01-12T08:16:50Z
dc.date.available2024-01-12T08:16:50Z
dc.date.issued2016
dc.identifier.citationAzpilicueta, L., Vargas-Rosales, C., Falcone, F. (2016) Intelligent vehicle communication: deterministic propagation prediction in transportation systems. IEEE Vehicular Technology Magazine, 11(3), 29-37. https://doi.org/10.1109/MVT.2016.2549995.en
dc.identifier.issn1556-6072
dc.identifier.urihttps://hdl.handle.net/2454/47009
dc.description.abstractIntelligent Transportation Systems (ITS) are currently under intense research and development for making transportation safer and more efficient. The development of such vehicular communication systems requires accurate models for the propagation channel. A key characteristic of these channels is their temporal variability and inherent non-stationarity, which has major impact on electromagnetic propagation prediction. This article investigates the channel properties of a wireless communication system within a vehicular communication environment with deterministic modeling. An analysis of the physical radio channel propagation of an ultra high frequencyradio frequency identification (UHF-RFID) system for a vehicle to infrastructure scattering environment is presented. A new module has been implemented in the proposed site-specific tool which takes into account the movement of the vehicles, leading to time and spacefrequency models. The strong dependence with the environment due to multipath propagation is presented. These results can aid in the identification of the optimal location of the transceivers, in order to minimize power consumption and increase service performance, improving vehicular communications within ITS.en
dc.description.sponsorshipMinistry of Economy and Competitiveness of Spain, funding provided by Grant TEC2013-45585-C2-1-R.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.publisherIEEEen
dc.relation.ispartofIEEE Vehicular Technology Magazine, 11(3), 29-37en
dc.rights© 2016 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.en
dc.titleIntelligent vehicle communication: deterministic propagation prediction in transportation systemsen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.date.updated2024-01-12T08:12:01Z
dc.contributor.departmentIngeniería Eléctrica y Electrónicaes_ES
dc.contributor.departmentIngeniaritza Elektrikoa eta Elektronikoaeu
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.doi10.1109/MVT.2016.2549995
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TEC2013-45585-C2-1-R/ES/en
dc.relation.publisherversionhttps://doi.org/10.1109/MVT.2016.2549995
dc.type.versionVersión aceptada / Onetsi den bertsioaes
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen


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