Openfund

CORDIS · SwiftV2X

Smart mmWave and MultiRATs for Multihop Vehicle-to-Everything (V2X) Communications in Connected and Autonomous Vehicles

Код
SwiftV2X
Програма
H2020
Процедура
MSCA-RISE-2020
Статус
SIGNED
Период
01.12.2021 – 30.11.2025
Обща стойност (целият консорциум)289 800 €
Принос на ЕС (целият консорциум)289 800 €
Принос на ЕС за българските участници9 200 €

Официални данни · CORDIS · синхронизирано 17.10.2026 10:16 · официален запис

Участници

ОрганизацииРоляДържаваБезвъзмездна помощ
DIETHNES PANEPISTIMIO ELLADOSкоординаторEL87 400 €
UNIVERSITY OF SURREYучастникUK101 200 €
TECHNISCHE UNIVERSITAET CHEMNITZучастникDE92 000 €
K3YучастникBG9 200 €
BANGKOK UNIVERSITYпартньорTH
UNIVERSITI TEKNOLOGI MALAYSIAпартньорMY

Описание

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.

Официални данни · CORDIS · синхронизирано 17.10.2026 10:16 · официален запис · Лиценз: © European Union, CC BY 4.0 (Commission reuse policy).