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基于AI的5G基站节能应用

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随着我国5G网络建设大力开展,截止到今年10月底,5G基站总数已经达到了321.5万个,占移动基站总数的28.1%.而对于通信基站内的通信主设备来说,降低载波功放模块的能耗是主要手段,但目前通信基础运营商是通过较为简单的模型或是通过设定阈值和门限进行关断,节能力度不足,成效也相当有限.将基站节能与当下AI技术相互关联,基于AI迭代学习功能,践行节能减排的智能化和AI化,有效实现"一站一策"的节能减排,同时不降低用户感知,减少了运维力量的人员成本.
Application of Energy Saving Solution for5G Base Station Based on Al
By the end of October,the total number of 5G base stations had reached 3.215 mil-lion,accounting for 28.1 percent of the total number of mobile base stations.For the main communication equipment in the communication base station,reducing the energy consumption of the carrier power amplifier module is the main means,but the current communication base operators turn off through the relatively simple model or by setting the threshold and threshold,so the energy saving is insufficient and the effect is quite limited.The base station energy sav-ing is interrelated with the current AI technology,based on the AI iterative learning function,practicing the intelligence and AI of energy conservation and emission reduction,effectively re-alizing the"one station one policy"energy saving and emission reduction,without reducing user perception,and reducing the personnel cost of operation and maintenance force.

5G5G energy consumption5G energy savingAI energy saving

苗晓春、陈旭黎

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中国移动通信集团上海有限公司,上海 200060

5G 5G能耗 5G节能 AI节能

2024

长江信息通信
湖北通信服务公司

长江信息通信

影响因子:0.338
ISSN:2096-9759
年,卷(期):2024.37(5)
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