Deep Reinforcement Learning-based CIO and Energy Control for LTE Mobility Load Balancing-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning-based CIO and Energy Control for LTE Mobility Load Balancing

Published:2021-01-09 Issue: Volume: Page:
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Container-title:2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)
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Author:

Alsuhli Ghada,Ismail Hassan A.,Alansary Kareem,Rumman Mahmoud,Mohamed Mostafa,Seddik Karim G.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9369428/9369448/09369525.pdf?arnumber=9369525

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. Reinforcement learning based mobility load balancing in cellular networks: a two-layered approach;Signal, Image and Video Processing;2024-05-22

2. Self-Optimized Agent for Load Balancing and Energy Efficiency: A Reinforcement Learning Framework With Hybrid Action Space;IEEE Open Journal of the Communications Society;2024

3. A survey on how network simulators serve reinforcement learning in wireless networks;Computer Networks;2023-10

4. Towards the use of Unsupervised Causal Learning in Wireless Networks Operation;Journal of King Saud University - Computer and Information Sciences;2023-10

5. Intelligent Load Balancing and Resource Allocation in O-RAN: A Multi-Agent Multi-Armed Bandit Approach;2023 IEEE 34th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC);2023-09-05

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