Multi-Agent Reinforcement Learning for Channel Assignment and Power Allocation in Platoon-Based C-V2X Systems

no code implementations • 9 Nov 2020 • Hung V. Vu, Mohammad Farzanullah, ZheYu Liu, Duy H. N. Nguyen, Robert Morawski, Tho Le-Ngoc

We consider the problem of joint channel assignment and power allocation in underlaid cellular vehicular-to-everything (C-V2X) systems where multiple vehicle-to-network (V2N) uplinks share the time-frequency resources with multiple vehicle-to-vehicle (V2V) platoons that enable groups of connected and autonomous vehicles to travel closely together.

Autonomous Vehicles Multi-agent Reinforcement Learning +2