Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/31367
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dc.contributor.authorColl-Perales, Baldomero-
dc.contributor.authorLucas-Estañ, M. Carmen-
dc.contributor.authorShimizu, T.-
dc.contributor.authorGozalvez, Javier-
dc.contributor.authorHiguchi, T.-
dc.contributor.authorAvedisov, S.-
dc.contributor.authorSepulcre, Miguel-
dc.contributor.otherDepartamentos de la UMH::Ingeniería de Comunicacioneses_ES
dc.date.accessioned2024-02-09T11:07:20Z-
dc.date.available2024-02-09T11:07:20Z-
dc.date.created2022-11-
dc.identifier.citationIEEE Transactions on Vehicular Technology Volume: 72, Issue: 4, April 2023es_ES
dc.identifier.issn1939-9359-
dc.identifier.issn0018-9545-
dc.identifier.urihttps://hdl.handle.net/11000/31367-
dc.description.abstractnetworks provide higher flexibility and improved performance compared to previous cellular technologies. This has raised expectations on the possibility to support advanced Vehicle to Everything (V2X) services using the cellular network via Vehicle-to-Network (V2N) and Vehicle-to-Network-to-Vehicle (V2N2V) connections. The possibility to support critical V2X services using 5G V2N2V or V2N connections depends on their end-to-end (E2E) latency. The E2E latency of V2N2V or V2N connections depends on the particular 5G network deployment, dimensioning and configuration, in addition to the network load. To date, few studies have analyzed the capabilities of V2N2V or V2N connections to support critical V2X services, and most of them focus on the 5G radio access network or consider dedicated 5G pilot deployments under controlled conditions. This paper progresses the state-of-the-art by introducing a novel E2E latency model to quantify the latency of 5G V2N and V2N2V communications. The model includes the latency introduced at the radio, transport, core, Internet, peering points and application server (AS) when vehicles are supported by a single mobile network operator (MNO) and when they are supported by multiple MNOs. The model can quantify the latency experienced when the V2X AS is deployed from the edge of the network (using MEC platforms) to the cloud. Using this model, this study estimates the E2E latency of 5G V2N2V connections for a large variety of possible 5G network deployments and configurations. The analysis helps identify which 5G network deployments and configurations are more suitable to meet V2X latency requirements. To this aim, we consider as case study the cooperative lane change service. The conducted analysis highlights the challenge for centralized network deployments that locate the V2X AS at the cloud to meet the latency requirements of advanced V2X services. Locating the V2X AS closer to the cell edge reduces the latency. However, it requires a higher number of ASs and also a careful dimensioning of the network and its configuration to ensure sufficient network and AS resources are dedicated to serve the V2X traffic.es_ES
dc.formatapplication/pdfes_ES
dc.format.extent15es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineerses_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject5Ges_ES
dc.subjectend-to-end latencyes_ES
dc.subjectmodeles_ES
dc.subjectV2Ces_ES
dc.subjectV2Nes_ES
dc.subjectV2C2Ves_ES
dc.subjectV2Xes_ES
dc.subjectvehicular networkses_ES
dc.subject.otherCDU::6 - Ciencias aplicadas::62 - Ingeniería. Tecnologíaes_ES
dc.titleEnd-to-End V2X Latency Modeling and Analysis in 5G Networkses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1109/TVT.2022.3224614es_ES
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