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

Informazioni relative al progetto

SwiftV2X

ID dell’accordo di sovvenzione: 101008085

DOI

10.3030/101008085

Progetto chiuso

Data della firma CE 3 Dicembre 2020

Data di avvio 1 Dicembre 2021

Data di completamento 30 Novembre 2025

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 289 800,00

Contributo UE

€ 289 800,00

Coordinato da

DIETHNES PANEPISTIMIO ELLADOS
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (12)

Theoretical findings on performance impact of RAT switching

Theoretical findings on performance impact of RAT switching.

Design of a vehicle-centric beam selection

Design of a vehicle-centric beam selection.

Optimisation solution for a beam-aware multiRAT selection

Optimisation solution for a beam-aware multiRAT selection.

Development of a small-scale testbed for beam and RAT selections in V2X

Development of a small-scale testbed for beam and RAT selections in V2X.

Implementation of a joint beamwidth control and multiRAT solution

Implementation of a joint beamwidth control and multiRAT solution.

Solution for a beamwidth control using reinforcement learning

Solution for a beamwidth control using reinforcement learning.

Development of a joint beamwidth control and RAT selection solution

Development of a joint beamwidth control and RAT selection solution.

Development of an mmWave beam communication model in a simulation platform

Development of an mmWave beam communication model in a simulation platform.

Design of joint optimisation of beamwidth control and multiRAT routing solution

Design of joint optimisation of beamwidth control and multiRAT routing solution.

Development of a channel-aware mmWave NOMA

Development of a channel-aware mmWave NOMA.

Proposal of a beam-aware multiRAT routing algorithm

Proposal of a beam-aware multiRAT routing algorithm.

Theoretical model for the multihop throughput and delay performance

Theoretical model for the multihop throughput and delay performance.

Other (5)

The 2nd annual plenary meeting and the workshop on machine learning for radio resource management

The 2nd annual plenary meeting and the workshop on machine learning for radio resource management to be hosted by UTM.

Training course on wireless routing in vehicular networks

Training course on wireless routing in vehicular networks.

Project Kick-off meeting, the 1st annual plenary meeting and the workshop on mmWave beam management in V2X

Project Kick-off meeting, the 1st annual plenary meeting and the workshop on mmWave beam management in V2X to be hosted by IHU (M1)

Training course on V2X technology and the role of mmWave

Training course on V2X technology and the role of mmWave.

Training course on standardization for V2X

Pubblicazioni

Conference proceedings (3)

Contextual Multi-Armed Bandit based Beam Allocation in mmWave V2X Communication under Blockage

Autori: A. M. Cassillas, A. Kose, H. Lee, C. H. Foh and C. Y. Leow
Pubblicato in: IEEE Conference on Vehicular Technology (VTC), 2023
Editore: IEEE
DOI: 10.1109/vtc2023-spring57618.2023.10200248

Efficient Peer-to-Peer Unicasting for VANET Architectures via Enhanced Monolithic Protocols

Autori: G. Amponis, T. Lagkas, D. Karampatzakis, P. R. Grammatikis, V. Argyriou, I. Moscholios, S. Goudos and P. Sarigiannidis
Pubblicato in: 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), 2022
Editore: IEEE
DOI: 10.1109/seeda-cecnsm57760.2022.9932897

Machine Learning based Beamwidth Adaptation for mmWave Vehicular Communications

Autori: S. Manic, C. H. Foh, A. Kose, H. Lee, C. Y. Leow, P. Chatzimisios, K. Moessner and C. Suthaputchakun.
Pubblicato in: IEEE Malaysia International Conference on Communications (MICC), 2023
Editore: IEEE
DOI: 10.1109/micc59384.2023.10419542

Peer reviewed articles (1)

Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications

Autori: Abdulkadir Kose; Haeyoung Lee; Chuan Heng Foh; Mohammad Shojafar
Pubblicato in: IEEE Transactions on Intelligent Transportation Systems, 2024, Pagina/e 7477 - 7493, ISSN 1524-9050
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2024.3351488