Deep Reinforcement Learning based Wireless Network Optimization: A Comparative Study-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning based Wireless Network Optimization: A Comparative Study

Published:2020-07 Issue: Volume: Page:
ISSN:
Container-title:IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
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Author:

Yang Kun,Shen Cong,Liu Tie

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9146478/9162584/09162925.pdf?arnumber=9162925

Cited by 18 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. Wireless Network Parameters Optimization Method Based on Behavioral Learning;2024 9th International Conference on Computer and Communication Systems (ICCCS);2024-04-19

2. Framework: Clustering-Driven Approach for Base Station Parameter Optimization and Automation (CeDA-BatOp);2024 IEEE 21st Consumer Communications & Networking Conference (CCNC);2024-01-06

3. CeDA-BatOp 2.0: Enhanced Framework for Base Station Parameter Optimization and Automation with Joint Optimization, Controlled Drift Analysis and Pseudo-Labeling;2023 9th International Conference on Computer and Communications (ICCC);2023-12-08

4. Cellular Network Optimization by Deep Reinforcement Learning and AI-Enhanced Ray Tracing;Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Spatial Big Data and AI for Industrial Applications;2023-11-13

5. Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets;2023 57th Asilomar Conference on Signals, Systems, and Computers;2023-10-29

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