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基于多元线性回归算法的5G基站能耗模型 被引量:15

5G Base Station Energy Consumption Model Based on Multiple Linear Regression Algorithm
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摘要 5G基站能耗高,对运营商的网络运营成本带来较大的压力。优化了5G基站能耗测试方法和业务加载方法,获取了大量现网5G基站能耗和无线利用率关系的实测基础数据。基于多元线性回归算法,构建了不同场景下的5G基站能耗模型,能耗模型拟合优度达到0.99以上。 The high energy consumption of 5G base station brings great pressure to the network operation cost.This paper optimizes the energy consumption test method and service loading method of 5G base stations,and obtains massive measured basic data about the relationship between energy consumption and wireless utilization of 5G base stations in the existing network.Based on multiple linear regression algorithms,the energy consumption model of 5G base station in different scenarios is constructed,and the goodness of fit for the energy consumption model is more than 0.99.
作者 帅农村 邵泽才 SHUAI Nongcun;SHAO Zecai(China Mobile Group Guangdong Company Limited Dongguan Branch,Dongguan 523129,China;China Mobile Research Institute,Beijing 100053,China)
出处 《移动通信》 2020年第5期32-36,41,共6页 Mobile Communications
基金 中国移动通信集团公司2019年重点研发项目(R19011010121103)。
关键词 5G基站 多元线性回归算法 能耗模型 5G base station multiple linear regression algorithm energy consumption model
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