Deep Reinforcement Learning for Dynamic Uplink/Downlink Resource Allocation in High Mobility 5G HetNet
发布时间：2021-06-04
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影响因子：9.302
发表刊物：IEEE Journal on Selected Areas in Communications
关键字：5G, high mobility, resource allocation, unmanned aerial vehicle (UAV), time division duplex (TDD), reinforcement learning (RL), Q-learning, deep learning, deep belief network, heterogeneous network (HetNet)
合写作者：N. Kato, Y. Zhou
第一作者：F. Tang
是否译文：否
发表时间：2020-06-29