F. VincyLLoyd

Joint Resource Allocation and Adaptive Task Scheduling in 5G Using Hybrid Deep Reinforcement Learning

In this paper, we design a hybrid deep reinforcement learning strategy that takes into account the problems related to combined resource allocation and task scheduling in dynamic 5G systems. Using a combination of DDQN and Prioritized Experience Replay (DDQN-PER), we create an effective approach that manages both eMBB...