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5G network as key-enabler for vehicular platooning
Indexado
WoS WOS:001094863700051
Scopus SCOPUS_ID:85177427976
DOI 10.1109/SECON58729.2023.10287431
Año 2023
Tipo proceedings paper

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



The 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.

Métricas Externas



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Disciplinas de Investigación



WOS
Sin Disciplinas
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

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Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



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Autores - Afiliación



Ord. Autor Género Institución - País
1 Duarte, Paulo - Capgemini Engineering - Portugal
Capgemini Engn - Portugal
1 Duarte, Paulo - Capgemini Engn - Portugal
2 Soyturk, Mujdat - Marmara Üniversitesi - Turquía
Marmara Univ - Turquía
2 Soyturk, Mujdat - Marmara Univ - Turquía
3 Samano-Robles, Ramiro Hombre Instituto Superior de Engenharia do Porto - Portugal
Polytech Porto Sch Engn ISEP - Portugal
4 Araujo, Marco - Capgemini Engineering - Portugal
Capgemini Engn - Portugal
4 Araujo, Marco - Capgemini Engn - Portugal
5 Yaman, Berkay - Marmara Üniversitesi - Turquía
Marmara Univ - Turquía
5 Yaman, Berkay - Marmara Univ - Turquía
6 Goes, Adriano - Capgemini Engineering - Portugal
Capgemini Engn - Portugal
6 Goes, Adriano - Capgemini Engn - Portugal
7 Mendes, Bruno - Capgemini Engineering - Portugal
Capgemini Engn - Portugal
7 Mendes, Bruno - Capgemini Engn - Portugal
8 Javanmardi, Gowhar - Instituto Superior de Engenharia do Porto - Portugal
Polytech Porto Sch Engn ISEP - Portugal
9 Gaitan, Miguel Gutierrez Hombre Universidad Nacional Andrés Bello - Chile
Centro de Investigação em Sistemas Confiáveis e de Tempo-Real - Portugal
CISTER Res Ctr - Portugal
9 Gaitan, Miguel Gutierrez - Universidad Nacional Andrés Bello - Chile
CISTER Res Ctr - Portugal
10 IEEE Corporación

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Financiamiento



Fuente
TUBITAK
Fundação para a Ciência e a Tecnologia
FCT
European Commission
European Regional Development Fund
European Regional Development Fund (ERDF)
Programa Operacional Temático Factores de Competitividade
Ministério da Ciência, Tecnologia e Ensino Superior
CISTER
National Funds through FCT/MCTES (Portuguese Foundation for Science and Technology), within the CISTER Research Unit
Operational Competitiveness Programme and Internationalization
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Electronic Components and Systems for European Leadership
Electronic Component Systems for European Leadership Joint Undertaking (ECSEL JU)

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Agradecimientos



Agradecimiento
This work is supported by the InSecTT, BEYOND5 and 6G-Brains projects. InSecTT and BEYOND5 projects have received funding from the Electronic Component Systems for European Leadership Joint Undertaking (ECSEL JU) and TUBITAK under agreement no. 876038 and 876124 respectively, while 6G-Brains is funded by the European Commission Horizon 2020 5G-PPP Program under Grant Agreement Number H2020-ICT-2020-2/101017226. This work was partially supported by National Funds through FCT/MCTES (Portuguese Foundation for Science and Technology), within the CISTER Research Unit (UIDP/UIDB/04234/2020); also by the Operational Competitiveness Programme and Internationalization (COMPETE 2020) under the PT2020 Agreement, through the European Regional Development Fund (ERDF), and by FCT, project POCI-01-0145-FEDER-032218 (5GSDN).
This work is supported by the InSecTT, BEYOND5 and 6G-Brains projects. InSecTT and BEYOND5 projects have received funding from the Electronic Component Systems for European Leadership Joint Undertaking (ECSEL JU) and TUBITAK under agreement no. 876038 and 876124 respectively, while 6G-Brains is funded by the European Commission Horizon 2020 5G-PPP Program under Grant Agreement Number H2020-ICT-2020-2/101017226. This work was partially supported by National Funds through FCT/MCTES (Portuguese Foundation for Science and Technology), within the CISTER Research Unit (UIDP/UIDB/04234/2020); also by the Operational Competitiveness Programme and Internationalization (COMPETE 2020) under the PT2020 Agreement, through the European Regional Development Fund (ERDF), and by FCT, project POCI-01-0145-FEDER-032218 (5GSDN).

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