Evaluation of the power-saving effect of 5G base station based on AI
The research and application of energy-saving technology for 5G wireless networks are significant for the emission-reduction work of Communication Operators. The traditional power-saving effect evaluation scheme of Active Antenna Unit (AAU) is complicated, leading to errors in the final evaluation results possibly. This paper proposes a LightGBM-based power-saving effect evaluation method of AAU, improving the efficiency and quality of AAU.
Authors
- Yunlong Liu
- Jifeng Lv (ORCID: https://orcid.org/0000-0002-6944-6807)
- Ao Shen (ORCID: https://orcid.org/0009-0004-8304-0397)
- Yuan Fang (ORCID: https://orcid.org/0009-0005-1708-4903)
- Feng Gao (ORCID: https://orcid.org/0000-0002-1882-1654)
- Sheng Zhang (ORCID: https://orcid.org/0009-0008-8450-1756)
- Yao Cen
- Xinte Qi
Institutions
- China Mobile (China) (CN)
Publication Details
- Published
- 2024-11-21
- DOI
- https://doi.org/10.1145/3708657.3708673
- Primary Topic
- Advanced Power Amplifier Design
- Type
- article
- Field-Weighted Citation Impact
- 0.00