A User-Centric Energy-Saving Method for Dynamic 5G Heterogeneous Networks Using Deep Reinforcement Learning

In this project, we design a user-centric algorithm utilizing deep reinforcement learning to minimize the total power consumption of the network while also considering the optimality of the aggregate delay.