3 papers
cs.MA2026
Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking
Siyuan Wang, Lei Lei, Pranav Maheshwari +2
Radio resource allocation (RRA) is a critical function in cellular vehicle-to-everything (C-V2X) networks, where vehicles must share limited wireless resources to support safety-cr…
cs.LG2025
Learning Value of Information towards Joint Communication and Control in 6G V2X
Lei Lei, Kan Zheng, Xuemin +1
As Cellular Vehicle-to-Everything (C-V2X) evolves towards future sixth-generation (6G) networks, Connected Autonomous Vehicles (CAVs) are emerging to become a key application. Leve…
eess.SY2022
Deep Reinforcement Learning Aided Platoon Control Relying on V2X Information
Lei Lei, Tong Liu, Kan Zheng +1
The impact of Vehicle-to-Everything (V2X) communications on platoon control performance is investigated. Platoon control is essentially a sequential stochastic decision problem (SS…