Analysis of inter-train wireless connectivity to enable context aware rail applications

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dc.contributor.authorPicallo Guembe, Imanol
dc.contributor.authorLópez Iturri, Peio
dc.contributor.authorCelaya Echarri, Mikel
dc.contributor.authorAzpilicueta Fernández de las Heras, Leyre
dc.contributor.authorAstrain Escola, José Javier
dc.contributor.authorFalcone Lanas, Francisco
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentIngeniería Eléctrica, Electrónica y de Comunicaciónes_ES
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentIngeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzareneu
dc.date.accessioned2022-09-20T08:19:48Z
dc.date.available2022-12-12T00:00:20Z
dc.date.issued2021
dc.date.updated2022-09-20T08:14:25Z
dc.description.abstractTrain systems are fundamental players within multi-modal transit systems, providing efficient transportation means for passengers and goods. In the framework of Smart Cities and Smart Regions, providing context aware environments is compulsory in order to take full advantage of system integration, with updated information exchange among Intelligent Transportation system deployments. In this work, inter-train wireless system connectivity is analyzed with the aid of deterministic 3D wireless channel approximations, with the aim of obtaining estimations of frequency/power volumetric channel distributions, as well as time domain characteristics, for different frequency bands. The results show the impact of the complex inter-train scenario conditions, which require precise channel modelling in order to perform optimal network design, planning and optimization tasks.en
dc.embargo.lift2022-12-12
dc.embargo.terms2022-12-12
dc.format.mimetypeapplication/pdfen
dc.identifier.citationPicallo, I., Iturri, P.L., Celaya-Echarri, M., Azpilicueta, L., Astrain, J.J., Falcone, F. (2021). Analysis of Inter-train Wireless Connectivity to Enable Context Aware Rail Applications. In: Elbiaze, H., Sabir, E., Falcone, F., Sadik, M., Lasaulce, S., Ben Othman, J. (eds) Ubiquitous Networking. UNet 2021. Lecture Notes in Computer Science(), vol 12845. Springer, Cham. https://doi.org/10.1007/978-3-030-86356-2_11en
dc.identifier.doi10.1007/978-3-030-86356-2_11
dc.identifier.isbn978-3-030-86355-5
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/44046
dc.language.isoengen
dc.publisherSpringeren
dc.relation.ispartofElbiaze, H.; Sabir, E.; Falcone, F.; Sadik, M.; Lasaulce, S.; Othman, F. B. (Eds.).: Ubiquitous Networking: 7th International Symposium, UNet 2021, Virtual Event, May 19-22, 2021, Revised Selected Papers. Springer International Publishing, 2021, pp. 125-132, 978-3-030-86355-5en
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-030-86356-2_11
dc.rights© 2021 Springer Nature Switzerland AGen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.subjectInter-train communicationen
dc.subject3D ray launching simulationen
dc.subjectWireless communication systemsen
dc.titleAnalysis of inter-train wireless connectivity to enable context aware rail applicationsen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dspace.entity.typePublication
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