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| 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
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.
| 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 |
| 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) |
| 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). |