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作 者:马敏 王昕 冷明全 MA Min;WANG Xin;LENG Ming-quan(China Mobile Group Design Institute Co.,Ltd.Shaanxi Branch,Xi’an 710065,China;China Mobile Group Shaanxi Co.,Ltd.,Xi’an 710065,China)
机构地区:[1]中国移动通信集团设计院有限公司陕西分公司,西安710065 [2]中国移动通信集团陕西有限公司,西安710065
出 处:《电信工程技术与标准化》2023年第6期54-58,共5页Telecom Engineering Technics and Standardization
摘 要:基站节能是通信网节能减排的重要部分,对于无线网络可持续发展具有重大意义。本文给出了一种4G/5G基站智能节电方案,基于无线大数据及多种AI算法,自动完成多制式多层网共覆盖小区识别、细分业务场景智能分类、精准业务量预测、最优节电策略生成和实时小区关断/唤醒等,在保证客户感知的前提下,实现基站智能化、精细化按需节能。经过实际的应用试点,验证了方案的可行性和有效性,为4G/5G无线基站节能提供了有力的方法指导和技术支撑。Base station energy saving is an important part of energy saving and consumption reduction for communication network.It is of great signifi cance to the sustainable development of wireless network.An intelligent energy saving scheme for 4G/5G base station scheme is proposed.With big data and multiple AI algorithms,common coverage cell identifi cation for multi-standard and multi-layer network,intelligent classifi cation of subdivision business scenarios,accurate traffi c forecast,generation of optimal energy-saving strategy and real-time cell shutdown/wake-up are all done automatically.On the premise of ensuring customer perception,intelligent and on demand energy-saving are implemented.Through pilot applications,the feasibility and eff ectiveness of the scheme are verifi ed.Therefore,it provides strong methodological guidance and technical support for intelligent energy saving of 4G/5G base station.
分 类 号:TN929.5[电子电信—通信与信息系统]
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