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CORDIS - Risultati della ricerca dell’UE
CORDIS

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

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

Theoretical findings on performance impact of RAT switching (si apre in una nuova finestra)

Theoretical findings on performance impact of RAT switching.

Design of a vehicle-centric beam selection (si apre in una nuova finestra)

Design of a vehicle-centric beam selection.

Optimisation solution for a beam-aware multiRAT selection (si apre in una nuova finestra)

Optimisation solution for a beam-aware multiRAT selection.

Development of a small-scale testbed for beam and RAT selections in V2X (si apre in una nuova finestra)

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

Implementation of a joint beamwidth control and multiRAT solution (si apre in una nuova finestra)

Implementation of a joint beamwidth control and multiRAT solution.

Solution for a beamwidth control using reinforcement learning (si apre in una nuova finestra)

Solution for a beamwidth control using reinforcement learning.

Development of a joint beamwidth control and RAT selection solution (si apre in una nuova finestra)

Development of a joint beamwidth control and RAT selection solution.

Development of an mmWave beam communication model in a simulation platform (si apre in una nuova finestra)

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

Design of joint optimisation of beamwidth control and multiRAT routing solution (si apre in una nuova finestra)

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

Development of a channel-aware mmWave NOMA (si apre in una nuova finestra)

Development of a channel-aware mmWave NOMA.

Proposal of a beam-aware multiRAT routing algorithm (si apre in una nuova finestra)

Proposal of a beam-aware multiRAT routing algorithm.

Theoretical model for the multihop throughput and delay performance (si apre in una nuova finestra)

Theoretical model for the multihop throughput and delay performance.

The 2nd annual plenary meeting and the workshop on machine learning for radio resource management (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

Training course on V2X technology and the role of mmWave.

Training course on standardization for V2X (si apre in una nuova finestra)

Pubblicazioni

Contextual Multi-Armed Bandit based Beam Allocation in mmWave V2X Communication under Blockage (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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 (si apre in una nuova finestra)

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

Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications (si apre in una nuova finestra)

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

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