Artificial Intelligence and Machine Learning as key enablers for V2X communications: A comprehensive survey

M Christopoulou, S Barmpounakis, H Koumaras… - Vehicular …, 2023 - Elsevier
The automotive industry is undergoing a profound digital transformation to create
autonomous vehicles. Vehicle-to-Everything (V2X) communications enable the provisioning …

A novel duplex deep reinforcement learning based RRM framework for next-generation V2X communication networks

SM Waqas, Y Tang, F Abbas, H Chen… - Expert Systems with …, 2023 - Elsevier
Resource management in the next-generation vehicle-to-everything (V2X) communication
networks is a demanding research problem. It is difficult to achieve the best results if the …

Awareness messages by vulnerable road users and vehicles: Field tests via LTE-V2X

L Lusvarghi, CA Grazia, M Klapez… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Awareness messages have been recently introduced to extend the information horizon of
connected vehicles and Vulnerable Road Users (VRUs) beyond their line-of-sight range. As …

[HTML][HTML] A comparative analysis of the semi-persistent and dynamic scheduling schemes in NR-V2X mode 2

L Lusvarghi, A Molina-Galan, B Coll-Perales… - Vehicular …, 2023 - Elsevier
Over the last years, the evolution of Vehicle-to-Everything (V2X) services from basic safety-
related to enhanced V2X (eV2X) applications prompted the development of the 5G New …

Resource allocation in V2X communication: State-of-the-art and research challenges

A Nair, S Tanwar - Physical Communication, 2024 - Elsevier
This paper explores the multifaceted domain of resource allocation (RA) in vehicle-to-
everything (V2X) communication, emphasizing its pivotal role in advancing intelligent …

On the Impact of Re-evaluation in 5G NR V2X Mode 2

A Molina-Galan, L Lusvarghi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
5G NR V2X has been designed to support advanced connected and automated driving V2X
services. These services are characterized by variable traffic patterns that can generate …

Proposed CtCNet-HDRNN: A Cornerstone in the Integration of 5G mmWave and DSRC for High-Speed Vehicular Networks

TH Ahmed, JJ Tiang, A Mahmud, CG Chin… - IEEE Access, 2023 - ieeexplore.ieee.org
This study proposes an innovative integration of the Car-to-Car Network-Hierarchical deep
neural network (CtCNET-HDRNN) model with Fifth generation (5G) and Dedicated Short …

[HTML][HTML] Predicting CAM generation times through machine learning for cellular V2X communication

H Seon, H Lee, H Kim - ICT Express, 2023 - Elsevier
Abstract In the narrow Intelligent Transportation System (ITS) band, avoiding wireless
channel congestion is essential. Reporting vehicle kinematics in the Cooperative …

A Scalable Mean-Field MARL Framework for Multi-Objective V2X Resource Allocation

X Zhang, H Zhang, H Tang, L Liang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Resource allocation in dense vehicle-to-everything (V2X) communication networks poses
intricate challenges due to scalability issues, dynamic environments, and diverse quality of …

Towards Cooperative VRUs: Optimal Positioning Sampling for Pedestrian Awareness Messages

J Martín-Pérez, O Amador, M Rydeberg… - arXiv preprint arXiv …, 2023 - arxiv.org
Road safety is the main motivation for Cooperative Intelligent Transport Systems (C-ITS) in
general, and vehicular communications (V2X) technology in particular. The V2X-based …