Framework: Clustering-Driven Approach for Base Station Parameter Optimization and Automation (CeDA-BatOp)
Author:
Affiliation:
1. Nokia Bell Labs,Massy,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10454139/10454627/10454773.pdf?arnumber=10454773
Reference18 articles.
1. Machine Learning for Performance Prediction in Mobile Cellular Networks
2. Machine Learning Paradigms for Next-Generation Wireless Networks
3. Deep Learning in Mobile and Wireless Networking: A Survey
4. Deep Reinforcement Learning based Wireless Network Optimization: A Comparative Study
5. Benefits of Self-Organizing Networks (SON) for Mobile Operators
Cited by 2 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. Deep Learning Approach for Pitting Corrosion Detection in Gas Pipelines;Sensors;2024-05-31
2. 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
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