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5G network as key-enabler for vehicular platooning

dc.contributor.authorDuarte, Paulo
dc.contributor.authorSoyturk, Mujdat
dc.contributor.authorRobles, Ramiro
dc.contributor.authorAraújo, Marco
dc.contributor.authorYaman, Berkay
dc.contributor.authorGoes, Adriano
dc.contributor.authorMendes, Bruno
dc.contributor.authorJavanmardi, Gowhar
dc.contributor.authorGutiérrez Gaitán, Miguel
dc.date.accessioned2023-11-08T12:00:28Z
dc.date.embargo2035
dc.date.issued2023-09-11
dc.description.abstractThe future of goods transportation will rely on increased efficiency, lower risks, and diminished delays through the use of vehicle platoons that benefit from vehicular connectivity using V2X (Vehicle to Everything) applications. This article describes a system that offers the aforementioned vehicular connectivity to platoons, based on AI-enhanced 5G for resource allocation in wireless platoon intra-communications under three scenarios (latency emergency braking, platoon wireless resource management in tunnels, V2X communications interference in a traffic congestion). Demos are described for each of the scenarios, targeting different layers, starting by the PHY (physical) layer where propagation models are implemented, then a simulation-based MAC (medium access control) layer that allows the allocation of resources to the connected User Equipments (UE) and finally a management and orchestration layer capable of monitoring and managing the radio network, offering features such as network slicing management using O-RAN (Open Radio Access Network) standards.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1109/SECON58729.2023.10287431pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/23859
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/10287431pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subject5Gpt_PT
dc.subjectV2Xpt_PT
dc.subjectPlatoonpt_PT
dc.subjectPropagation modelpt_PT
dc.title5G network as key-enabler for vehicular platooningpt_PT
dc.title.alternative230903pt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.title2023 20th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)pt_PT
person.familyNameSamano-Robles
person.familyNameJavanmardi
person.familyNameGutiérrez Gaitán
person.givenNameRamiro
person.givenNameGowhar
person.givenNameMiguel
person.identifier.ciencia-id0717-6659-467C
person.identifier.ciencia-id9E1B-E859-0E84
person.identifier.orcid0000-0002-1054-1818
person.identifier.orcid0000-0003-4835-2286
person.identifier.orcid0000-0002-3307-8731
person.identifier.scopus-author-id23477889200
person.identifier.scopus-author-id57192172325
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationac51ae9d-002d-4803-b9af-5fbbb162832b
relation.isAuthorOfPublication62bb67c8-037b-44e8-80aa-0b62734567f4
relation.isAuthorOfPublication3512370f-381d-42ec-95e1-6ddd459c8169
relation.isAuthorOfPublication.latestForDiscovery3512370f-381d-42ec-95e1-6ddd459c8169

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