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SwiftV2X

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Smart mmWave and MultiRATs for Multihop Vehicle to Everything V2X Communicatio...

Smart mmWave and MultiRATs for Multihop Vehicle to Everything V2X Communications in Connected and Autonomous Vehicles The push for improved driving experience, including the ultimate goal of driverless vehicles, has fueled the development of Connected and Autonomous Vehicles (CAVs). Connectivity is an important enabler for CAVs, as it allows for... ver más

30/11/2025

INTERNATIONAL HELL...

290K€

Presupuesto del proyecto: 290K€

Líder del proyecto

DIETHNES PANEPISTIMIO ELLADOS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 8 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2020-12-03

MSCA-RISE-2020: Research and Innovation Staff Excha...

I+D

Cerrada hace 4 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

8 Participantes

INTERNATIONAL HELLENIC UNIVE...

87.40K€ | Lider

BANGKOK UNIVERSITY

K3Y

9.20K€ | Participante

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Duración del proyecto: 59 meses Fecha Inicio: 2020-12-03
Fecha Fin: 2025-11-30

Líder del proyecto

DIETHNES PANEPISTIMIO ELLADOS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 290K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The push for improved driving experience, including the ultimate goal of driverless vehicles, has fueled the development of Connected and Autonomous Vehicles (CAVs). Connectivity is an important enabler for CAVs, as it allows for autonomous vehicles to directly participate in the intelligent transportation system (ITS) and make collective intelligent decisions. 5G mobile networks play an important role in providing vehicular connectivity as mobile networks support mobility by default. However, the density of vehicles is high in urban areas that poses challenges for the support from mobile networks. Deploying ultra-dense small cells using millimetre wave (mmWave) communication is one promising solution since ultra-dense small cells deployment addresses the network capacity and mmWave addresses the interference arisen from the dense deployment. However, due to the relatively narrow footprint of a mmWave beam, using mmWave communication for fast moving vehicles requires careful allocation to utilise its potential and avoid selfishness in radio resource usage. This project sets an ambitious goal of designing smart and dynamic algorithms to manage mmWave beam allocations in CAV environments. The project first investigates solely on the mmWave beam allocations and proposes smart algorithm using both traditional optimisation technique for benchmarking and modern machine learning algorithms for practical operation. It then studies the radio resource allocation under multi radio access technologies (multiRATs) that is the likely deployment setup before the full mmWave small cell networks become practical in the future. Finally, our study is extended to vehicle-to-vehicle communication using mmWave that can support delay sensitive message exchanges and range extension. As experimentation needs expensive infrastructure, the foreseen secondments offer partners without infrastructure on their premises to test their design on other partners that possess the infrastructure.

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