Distributed Transmission Control for Wireless Networks using Multi-Agent Reinforcement Learning. (arXiv:2205.06800v1 [cs.LG])

We examine the problem of transmission control, i.e., when to transmit, in
distributed wireless communications networks through the lens of multi-agent
reinforcement learning. Most other works using reinforcement learning to
control or schedule transmissions use some centralized control mechanism,
whereas our approach is fully distributed. Each transmitter node is an
independent reinforcement learning agent and does not have direct knowledge of
the actions taken by other agents. We consider the case where only a subset of
agents can successfully transmit …

arxiv distributed learning networks reinforcement reinforcement learning wireless