From the 1 of 6 linked papers with an AI index.
6 papers
Decentralized Multi-Agent Urban Traffic Management via Spatio-Temporal Mobility Profile Planning
Lorenzo Mario Amorosa, Lorenzo Farina, Vittorio Todisco +1
As modern cities face increasingly severe traffic congestion, connected and autonomous vehicles (CAVs) have emerged as a crucial enabling technology for next-generation intelligent…
Proactive URLLC Adaptation for Connected Vehicles Through ML-Based Channel Prediction
Andrea Giovannini, Lorenzo Mario Amorosa, Vittorio Todisco +4
The paper evaluates deep neural network and LSTM models to predict future wireless channel quality for ultra‑reliable low‑latency communication in connected vehicles, enabling proa…
A Practical Implementation of Day-3 Cooperative Intersection with Automated Connected Mini-Cars
Lorenzo Farina, Vittorio Todisco, Federico Gavioli +11
Cooperative driving enabled by connected and automated vehicles is expected to improve traffic efficiency and safety, particularly at intersections where traditional control mechan…
5G NR-V2X Scheduling Approaches for CPM Variable Size Traffic
Vittorio Todisco, Mattia Andreani, Maria Luisa Merani +1
Collective perception messages (CPMs) introduce significant packet size variability due to dynamic object inclusion and periodic security overhead. While 5G NR-V2X Mode 2 typically…
Can NR-V2X Sidelink support A2A links?
Vittorio Todisco, Alessandro Bazzi
In the context of 5G, 3GPP introduced New Radio vehicle to everything (NR-V2X) for direct vehicle-to-vehicle communication. However, starting from Release 18 the focus of the stand…
Exploiting Repetitions and Interference Cancellation for the 6G-V2X Sidelink Autonomous Mode
Alessandro Bazzi, Vittorio Todisco, Antonella Molinaro +3
In recent years, the Third Generation Partnership Project (3GPP) has developed the new radio-vehicle-to-everything (NR-V2X) sidelink standard, to enable direct communication betwee…