works on
cellular u u 1channel selection 1hybrid communication 1multi-agent reinforcement learning 1nr-v2x pc5 1v2x communication 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.MA2026

Multi-Agent Reinforcement Learning for C-V2X RAT Selection

Moritz Schaffenroth, Uwe Kölbel, Heike Lepke +2

The paper applies multi‑agent reinforcement learning (MAPPO) to dynamically select between cellular Uu, NR‑V2X PC5 sidelink, or both for vehicle‑to‑everything communication, showin…