Optimal Handover Policy for mmWave Cellular Networks: A Multi-Armed Bandit Approach-Reference-Cited by-同舟云学术

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Optimal Handover Policy for mmWave Cellular Networks: A Multi-Armed Bandit Approach

Published:2019-12 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Global Communications Conference (GLOBECOM)
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Author:

Sun Li,Hou Jing,Shu Tao

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8968653/9013108/09014079.pdf?arnumber=9014079

Cited by 5 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. Double‐deep Q‐learning‐based handover management in mmWave heterogeneous networks with dual connectivity;Transactions on Emerging Telecommunications Technologies;2023-12-10

2. A Literature Survey on AI-Aided Beamforming and Beam Management for 5G and 6G Systems;Sensors;2023-04-28

3. AI-Based Approaches for Handover Optimization in 5G New Radio and 6G Wireless Networks;2023 International Conference on Computer Science, Information Technology and Engineering (ICCoSITE);2023-02-16

4. Dealing With Link Blockage in mmWave Networks: A Combination of D2D Relaying, Multi-Beam Reflection, and Handover;IEEE Transactions on Wireless Communications;2022-08

5. State Aware-Based Prioritized Experience Replay for Handover Decision in 5G Ultradense Networks;Wireless Communications and Mobile Computing;2022-05-05

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