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CORDIS - EU research results
CORDIS

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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Theoretical findings on performance impact of RAT switching (opens in new window)

Theoretical findings on performance impact of RAT switching.

Design of a vehicle-centric beam selection (opens in new window)

Design of a vehicle-centric beam selection.

Solution for a beamwidth control using reinforcement learning (opens in new window)

Solution for a beamwidth control using reinforcement learning.

Development of an mmWave beam communication model in a simulation platform (opens in new window)

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

Theoretical model for the multihop throughput and delay performance (opens in new window)

Theoretical model for the multihop throughput and delay performance.

The 2nd annual plenary meeting and the workshop on machine learning for radio resource management (opens in new window)

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

Project Kick-off meeting, the 1st annual plenary meeting and the workshop on mmWave beam management in V2X (opens in new window)

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 (opens in new window)

Training course on V2X technology and the role of mmWave.

Publications

Contextual Multi-Armed Bandit based Beam Allocation in mmWave V2X Communication under Blockage (opens in new window)

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

Efficient Peer-to-Peer Unicasting for VANET Architectures via Enhanced Monolithic Protocols (opens in new window)

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

Machine Learning based Beamwidth Adaptation for mmWave Vehicular Communications (opens in new window)

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

Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications (opens in new window)

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

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