AI-Enhanced Scheduling Algorithms for Distributed C-V2X Communications

This webinar focused on how over the last years, the onset of Vehicle-to-Everything (V2X) communications paved the way for the evolution of Intelligent Transportation Systems (ITS) towards connected and autonomous driving. In this regard, the Third Generation Partnership Project (3GPP) has introduced the Cellular V2X (C-V2X) standard in Release 14 specifications to support basic safety-related applications and enhanced V2X use cases in both in-coverage and out-of-coverage scenarios. In the latter case, dedicated Medium Access Control (MAC) layer protocols allow connected vehicles to autonomously select their transmission resources and directly communicate, without the support of the cellular infrastructure. However, distributed C-V2X communications rely on poorly flexible scheduling algorithms that are not able to effectively serve the generated traffic when the packet inter-arrival time and the packet size are not fixed. To this end, this seminar will illustrate the potential of Artificial Intelligence (AI) techniques to address these challenges and to improve the performance of distributed C-V2X communications. During the seminar, the impact of a Machine Learning (ML) algorithm on the dissemination of Cooperative Awareness Messages (CAMs) will also be demonstrated through simulation results.