Service-oriented DU-CU Placement Using Reinforcement Learning in 5G/B5G Converged Wireless-Optical Networks

We propose a reinforcement learning based DU-CU placement scheme to accommodate diversified services in 5G/B5G networks. It outperforms ILP model and widely used heuristics in terms of the service-scale and resource-saving respectively.