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作 者:高珍 靳剑东 李志强 崔超 GAO Zhen;JIN Jian-dong;LI Zhi-qiang;CUI Chao(China Mobile Group Shanxi Co.,Ltd.,Taiyuan 030032,China;Aspire Technologies(Shenzhen)Limited,Shenzhen 518000,China)
机构地区:[1]中国移动通信集团山西有限公司,太原030032 [2]卓望数码技术(深圳)有限公司,深圳518000
出 处:《电信工程技术与标准化》2022年第9期11-17,共7页Telecom Engineering Technics and Standardization
摘 要:本文提出基于AI的4G/5G基站协同节电方法以AI技术为突破口,构建重叠覆盖拓扑结构,研究重叠覆盖核心算法,建立业务长时和短时预测深度学习算法,精细化分析网络业务负荷潮汐效应时段,输出智能节电策略,通过系统自动编辑下发休眠和唤醒指令,在保证网络覆盖和客户业务体验情况下,实现业务闲时4G/5G协同的智能节电,达到移动通信网络整体节能减排效果。This paper proposes the research and application of power-saving solution for AI-based 4G/5G base station collaborative,which takes AI technology as a breakthrough,the topology of overlapping coverage is constructed,the core algorithm of overlapping coverage is studied,the depth learning algorithm for long-time and short-time prediction of business is established,the tidal period of network traffi c load is succinctly analyzed,the intelligent power-saving strategy is outputted,the sleep and wake command is automatically sended by the power saving system.Under the premise of guaranteeing user business experience and network coverage,in service idle time 4G/5G base station collaborative intelligent power saving is actualized,the energy saving and emission reduction effect of mobile communication network is effectively improved.
分 类 号:TN929.5[电子电信—通信与信息系统]
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