Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning for Network Slicing with Heterogeneous Resource Requirements and Time Varying Traffic Dynamics

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 15th International Conference on Network and Service Management (CNSM)
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Author:

Koo Jaehoon,Mendiratta Veena B.,Rahman Muntasir Raihan,Walid Anwar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8977268/9012657/09012702.pdf?arnumber=9012702

Cited by 24 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. Reinforcement Learning for Intelligent Healthcare Systems: A Review of Challenges, Applications, and Open Research Issues;IEEE Internet of Things Journal;2023-12-15

2. Deep Learning Based Traffic Prediction for Resource Allocation in Multi-Tenant Virtualized 5G Networks;TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON);2023-10-31

3. Deep Reinforcement Learning for NextG Radio Access Network Slicing With Spectrum Coexistence;IEEE Networking Letters;2023-09

4. Adaptive Services Function Chain Orchestration For Digital Health Twin Use Cases: Heuristic-boosted Q-Learning Approach;2023 IEEE 9th International Conference on Network Softwarization (NetSoft);2023-06-19

5. Intelligent-Slicing: An AI-Assisted Network Slicing Framework for 5G-and-Beyond Networks;IEEE Transactions on Network and Service Management;2023-06

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