RAN Slice Strategy Based on Deep Reinforcement Learning for Smart Grid-Reference-Cited by-同舟云学术

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RAN Slice Strategy Based on Deep Reinforcement Learning for Smart Grid

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 Computing, Communications and IoT Applications (ComComAp)
language:
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Author:

Meng Sachula,Wang Zhihui,Ding Huixia,Wu Sai,Li Xuan,Zhao Peng,Zhu Chunying,Wang Xue

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8989918/9018635/09018826.pdf?arnumber=9018826

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Survey of Intelligent End-to-End Networking Solutions: Integrating Graph Neural Networks and Deep Reinforcement Learning Approaches;Electronics;2024-03-06

2. Research on RAN Slicing Resource Allocation Techniques for Power Applications;2023 3rd International Conference on Communication Technology and Information Technology (ICCTIT);2023-11-24

3. Multi-round Double Auction Based Resource Allocation for Network Slicing in Smart Grids;2023 International Conference on Wireless Communications and Signal Processing (WCSP);2023-11-02

4. Deep Reinforcement Learning for Online Resource Allocation in Network Slicing;IEEE Transactions on Mobile Computing;2023

5. Machine Learning in Network Slicing—A Survey;IEEE Access;2023

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