Base Station Traffic Prediction based on Feature Selection and Stacking Ensemble Learning-Reference-Cited by-同舟云学术

Base Station Traffic Prediction based on Feature Selection and Stacking Ensemble Learning

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things
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Author:

Zhao Long¹^ORCID,Huang Youzhi²^ORCID,Wang Yanyan²^ORCID,Xu Yin²^ORCID,Feng Qiangzhong²^ORCID,Chen Enhong²^ORCID

Affiliation:

1. School of Computer Science and Technology, University of Science and Technology of China, China and Innovation + Research Institute, GuoChuang Cloud Technology LTd., China

2. Innovation + Research Institute, GuoChuang Cloud Technology LTd., China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3603781.3603800

Reference16 articles.

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2. Mishra S. and Mathur N. 2014. Load balancing optimization in LTE/LTE-A cellular networks: a review. arXiv preprint arXiv:1412.7273. Mishra S. and Mathur N. 2014. Load balancing optimization in LTE/LTE-A cellular networks: a review. arXiv preprint arXiv:1412.7273.

3. Wenxuan L. Xiujuan C. Jiaqi W. Songzheng H. and Haohan Y. 2022. Traffic prediction analysis of mobile base station based on time series statistical model. Scientific and technological innovation and productivity 22(03) 42-43+47. Wenxuan L. Xiujuan C. Jiaqi W. Songzheng H. and Haohan Y. 2022. Traffic prediction analysis of mobile base station based on time series statistical model. Scientific and technological innovation and productivity 22(03) 42-43+47.

4. Cellular traffic prediction with machine learning: A survey

5. A comprehensive research on exponential smoothing methods in modeling and forecasting cellular traffic

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