… Deep reinforcement learning for mobile 5G and beyond: … Survey of deep reinforcement
learning based on value function … radio access network slicing using deep reinforcement learning …

… This research will use the DQN model in reinforcement learning to solve this problem. This
model … “Deep federated q-learning-based network slicing for industrial iot,” IEEE Transactions …

… Deep reinforcement learning-based policy for baseband function placement and routing of
RAN in 5G and beyond[J]. … using reinforcement learning for trigger selection in network slice …

… Beyond 5G, our ambition is to resort to AI technologies to … They evaluated several deep
learning based algorithms and … Herein, we explore another example of a deep learning based …

… radio access network slicing with deep reinforcement learning … RAN slicing for customized
services in 5G-and-beyond wireless … Deep reinforcement learning-based resource reservation …

… 概述5G 移动通信关键技术的基础上, 梳理了AI 技术在5G 系统… 并给出了有关5G 网络优化,资源
最优分配,5G 物理层统一加速运算… Deep reinforcement learning for network slicing. 2018. ArXiv: …

… associated with slicing reconfiguration and DTs' synchronization. Firstly, at large time scales,
network slicing is employed … Survey on network slicing for internet of things realization in 5G …

… 需要更 精细化的划分,而现有的5G 网络切片(NS, network slicing)方案不能满足精细化的业务需求
. 因此,… Deep reinforcement learning based handoff algorithm in end-to-end network slicing …

… in the life duration of the network slice was analyzed. Then the … 未来5G,B5G(beyond 5G,后
5G)甚 至6G 网络将利用网络切片为… Learning-based dynamic resource provisioning for network …

… 研究人 员必须开启后5G/6G(B5G/6G, beyond 5G/6G)通 信系统的研究. … A survey and an analysis
of network slicing in 5G … Q-learning based physical-layer secure game against multiagent …