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dc.contributor.authorGorospe, Joseba
dc.contributor.authorGarcía, Daniel
dc.contributor.authorMozo, Erislandy
dc.contributor.authorAlonso Gómez, Arrate
dc.contributor.otherHasan, Shahriar
dc.contributor.otherUhlemann, Elisabeth
dc.date.accessioned2024-10-09T15:55:12Z
dc.date.available2024-10-09T15:55:12Z
dc.date.issued2024
dc.identifier.issn2157-9865en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=178000en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6652
dc.description.abstractVehicular communication is a key enabler in making Automated Vehicles (AVs) collaborate by sharing information, which complements on-board sensor information and facilitates precise vehicle control. This paper presents a tailored measurement campaign aimed at analyzing the performance of two vehicular communication technologies, namely IEEE 802.11p and LTE-V2X. Our study focuses on key metrics for cooperating AVs, such as end-to-end latency and packet delivery ratios. Additionally, we investigate the feasibility of channel coexistence, assessing the challenges associated with concurrent channel access. The results derived from field tests are correlated with simulations conducted on PLEXE and OpenCV2X, i.e., platforms used for simulating IEEE 802.11p and LTE-V2X, respectively. This combined methodology, comprising field tests and simulations, enables the attainment of replicable conclusions, which in turn enables better design choices.en
dc.language.isoengen
dc.publisherIEEEen
dc.rights© 2024 IEEEen
dc.subjectCommunication Technologiesen
dc.subjectpower measurementen
dc.titlePerformance comparison of IEEE 802.11p and LTE-V2X through field-tests and simulationsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_f1cfen
dcterms.sourceIEEE Vehicular Networking Conference (VNC)en
local.contributor.groupTeoría de la señal y comunicacioneses
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1109/VNC61989.2024.10576013en
local.embargo.enddate2026-12-31
local.contributor.otherinstitutionEurecat Centre Tecnològic de Catalunyaes
local.contributor.otherinstitutionhttps://ror.org/033vfbz75es
local.source.detailsPp. 81-88. Kobe, 29-31 mayo, 2024
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen
oaire.funderNameGobierno Vascoen
oaire.funderNameGobierno Vascoen
oaire.funderNameComisión Europeaen
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086en
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086en
oaire.funderIdentifierhttps://ror.org/00k4n6c32 / http://data.crossref.org/fundingdata/funder/10.13039/501100000780
oaire.fundingStreamIkertalde 2022-2023en
oaire.fundingStreamElkartek 2023en
oaire.fundingStreamH2020-ECSELen
oaire.awardNumberIT1451-22en
oaire.awardNumberKK-2023-00019en
oaire.awardNumber101007350en
oaire.awardTitleSin informaciónen
oaire.awardTitleMovilidad Autónoma Confiable mediante Tecnologías de Explicabilidad y Evaluación de Inteligencia Artificial (AUTOTRUST)en
oaire.awardTitleAI-augmented automation for efficient DevOps, a model-based framework for continuous development At RunTime in cyber-physical systems (AIDOaRT)en
oaire.awardURISin informaciónen
oaire.awardURISin informaciónen
oaire.awardURIhttps://doi.org/10.3030/101007350en


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