Q-Learning Algorithm Enabled Topology Control Scheme in Power Line Communication Networks-Reference-Cited by-同舟云学术

Q-Learning Algorithm Enabled Topology Control Scheme in Power Line Communication Networks

Published:2022-12-09 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Smart Power & Internet Energy Systems (SPIES)
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Author:

Liu Lin¹,Zheng Libin¹,Wang Yusi¹

Affiliation:

1. State Grid Dalian Electric Power Supply Company,Liaoning,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10081933/10081944/10082615.pdf?arnumber=10082615

Reference15 articles.

1. Research on Power Line Carrier Routing Algorithm for Low Voltage Distribution Network Power Line Carrier Communication[J];song;Science Technology and Engineering,2016

2. Design of a high-efficient networking algorithm for low-voltage power line communication[J];zhang;Modern Electronics Technique,2016

3. Decentralized Learning Based Indoor Interference Mitigation for 5G-and-Beyond Systems

4. Joint channel and power optimisation for multi-user anti-jamming communications: A dual mode Q-learning approach[J];zhang;IET Communications,2022

5. A route searching algorithm of BPLC and TWACS integrated communication

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