电信科学 ›› 2021, Vol. 37 ›› Issue (11): 143-151.doi: 10.11959/j.issn.1000-0801.2021249

• 工程与应用 • 上一篇    下一篇

基于AI深度学习的面向业务5G基站节能系统研究

徐孟强   

  1. 中国移动通信集团浙江有限公司宁波分公司，浙江 宁波 315100
  • 修回日期:2021-11-15 出版日期:2021-11-20 发布日期:2021-11-01
  • 作者简介:徐孟强（1972− ），男，中国移动通信集团浙江有限公司宁波分公司总经理，主要研究方向为通信领域

Research on business oriented 5G base station energy saving system based on AI deep learning

Mengqiang XU   

  1. Ningbo Branch of China Mobile Group Zhejiang Co., Ltd., Ningbo 315100, China
  • Revised:2021-11-15 Online:2021-11-20 Published:2021-11-01

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摘要：

由于5G业务发展，5G基站数量增多，造成运营商的电费成本急剧增加，节能降耗成为运营商的可持续发展需求。在研究主流5G基站节能模式及多方位5G节能方案的基础上，提出了基于多种AI算法的5G基站节能系统，通过单SIM卡级别的高精度业务识别，在保证5G重要业务等各类型业务稳定运行的基础上，实现了最佳策略的5G基站柔性节能。

关键词: 5G基站节能, 高精度业务识别, 智能决策

Abstract:

Due to the needs of 5G business development, the number of 5G base stations has increased, resulting in a sharp increase in the electricity cost of operators.Energy saving and consumption reduction has become the sustainable development demand of operators.Based on the research of mainstream 5G base station energy-saving mode and multi-directional 5G energy-saving scheme, a 5G base station energy-saving system based on a variety of AI algorithms was proposed.Through the high-precision service identification at the level of single SIM card, the best strategy of 5G base station flexible energy-saving was realized on the basis of ensuring the stable operation of 5G important services and other types of services.

Key words: 5G base station energy saving, high precision service identification, intelligent decision-making

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