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作 者:沈金虎 杨明杰 张柠 王嘉祺 梁星 胡亚希 SHEN Jin-hu;YANG Ming-jie;ZHANG Ning;WANG Jia-qi;LIANG Xing;HU Ya-xi(China Mobile Group Design Institute Co.,Ltd.,Beijing 100080,China;China Mobile Group Co.,Ltd.,Beijing 100032,China)
机构地区:[1]中国移动通信集团设计院有限公司,北京100080 [2]中国移动通信集团有限公司,北京100032
出 处:《电信工程技术与标准化》2025年第4期6-12,共7页Telecom Engineering Technics and Standardization
摘 要:随着移动通信网络的发展以及5G网络的建设,移动运营商的运营支出占比越来越高,其中电费、铁塔租金等在移动运营商的运营成本中占比居高不下。运营商对无线站点的能耗效率提升和集成化能力提升有越来越高的要求,希望能够节能减排,节约运营成本。本文以基站极简改造工作为切入点,通过运用大数据和智能化手段,基于漏斗算法模型对机房进行多维度评估,根据机房类型智能匹配多层次的机房改造方案。该方案可在确保网络质量不下降的前提下,降低铁塔服务费和空调电费,盘活无线和传输主设备资源,并降低网络结构复杂度。With the development of mobile communication networks and the construction of 5G networks,the proportion of OPEX expenditures for mobile operators is increasing.Electricity costs and tower rental fees remain high in the operating costs of mobile operators.Operators have increasingly higher demands for improving energy efficiency and integration capabilities of wireless sites,hoping to save energy and reduce operating costs.This article takes the minimalist transformation of base stations as a starting point,and by using big data and intelligent methods,it conducts a multi-dimensional assessment of the equipment rooms based on the funnel algorithm model.According to the type of equipment room,it intelligently matches multi-level equipment room transformation plans.This plan can reduce tower service fees and air conditioning electricity costs without compromising network quality,revitalize wireless and transmission main equipment resources,and reduce the complexity of network structure..
分 类 号:TN929.5[电子电信—通信与信息系统]
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