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

OBJECTIVES

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 will be 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.

PUBLICATIONS

Publications related to the Project
1. George Amponis, Thomas Lagkas, Dimitris Karampatzakis, Panagiotis Radoglou Grammatikis, Vasileios Argyriou, Ioannis Moscholios, Sotirios Goudos and Panagiotis Sarigiannidis, "Efficient Peer-to-Peer Unicasting for VANET Architectures via Enhanced Monolithic Protocols," 7th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Ioannina, Greece, 2022, pp. 1-8.

2. F. S. Woon and C. Y. Leow, "Intelligent Reflecting Surfaces Aided Millimetre Wave Blockage Prediction For Vehicular Communication," IEEE 6th International Symposium on Telecommunication Technologies (ISTT), 2022, pp. 11-15.

FUNDING

SwiftV2X project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie SkÅ‚odowska-Curie project number 101008085.