Transmit Power Control for Indoor Small Cells: A Method Based on Federated Reinforcement Learning. (arXiv:2209.13536v1 [cs.NI])

Setting the transmit power setting of 5G cells has been a long-term topic of
discussion, as optimized power settings can help reduce interference and
improve the quality of service to users. Recently, machine learning (ML)-based,
especially reinforcement learning (RL)-based control methods have received much
attention. However, there is little discussion about the generalisation ability
of the trained RL models. This paper points out that an RL agent trained in a
specific indoor environment is room-dependent, and cannot directly serve new …

arxiv cells power reinforcement reinforcement learning small