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

Información del proyecto

SwiftV2X

Identificador del acuerdo de subvención: 101008085

DOI

10.3030/101008085

Proyecto cerrado

Fecha de la firma de la CE 3 Diciembre 2020

Fecha de inicio 1 Diciembre 2021

Fecha de finalización 30 Noviembre 2025

Financiado con arreglo a

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Coste total

€ 289 800,00

Aportación de la UE

€ 289 800,00

Coordinado por

DIETHNES PANEPISTIMIO ELLADOS
Greece

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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

Publicaciones

Conference proceedings (3)

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

Autores: A. M. Cassillas, A. Kose, H. Lee, C. H. Foh and C. Y. Leow
Publicado en: IEEE Conference on Vehicular Technology (VTC), 2023
Editor: IEEE
DOI: 10.1109/vtc2023-spring57618.2023.10200248

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

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

Machine Learning based Beamwidth Adaptation for mmWave Vehicular Communications

Autores: S. Manic, C. H. Foh, A. Kose, H. Lee, C. Y. Leow, P. Chatzimisios, K. Moessner and C. Suthaputchakun.
Publicado en: IEEE Malaysia International Conference on Communications (MICC), 2023
Editor: 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

Autores: Abdulkadir Kose; Haeyoung Lee; Chuan Heng Foh; Mohammad Shojafar
Publicado en: IEEE Transactions on Intelligent Transportation Systems, 2024, Página(s) 7477 - 7493, ISSN 1524-9050
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tits.2024.3351488