Real-Time Resource Slicing for 5G RAN via Deep Reinforcement Learning
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/8961328/8975714/08975772.pdf?arnumber=8975772
Cited by 10 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. Deep Reinforcement Learning for Scalable Dynamic Bandwidth Allocation in RAN Slicing With Highly Mobile Users;IEEE Transactions on Vehicular Technology;2024-01
2. Network Slicing-Based Learning Techniques for IoV in 5G and Beyond Networks;IEEE Communications Surveys & Tutorials;2024
3. Research on RAN Slicing Resource Allocation Techniques for Power Applications;2023 3rd International Conference on Communication Technology and Information Technology (ICCTIT);2023-11-24
4. A Reinforcement Learning Approach for Network Slicing in 5G Networks;2023 JNIC Cybersecurity Conference (JNIC);2023-06-21
5. Competitive Pricing for Resource Trading in Sliced Mobile Networks: A Multi-Agent Reinforcement Learning Approach;IEEE Transactions on Mobile Computing;2023
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