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基于数据挖掘的5G Massive MIMO天线权值优化方法研究
引用本文:田原,张亚男,贾磊,李连本. 基于数据挖掘的5G Massive MIMO天线权值优化方法研究[J]. 电信工程技术与标准化, 2021, 34(11)
作者姓名:田原  张亚男  贾磊  李连本
作者单位:中国移动通信集团陕西有限公司,西安 710077
摘    要:本文基于4G/5G数据挖掘分析给出了一种NSA组网下5G Massive MIMO天线权值智能优化方法。该方法结合4G MDT和5G MR数据,采用聚类和成形算法分析得到待优化小区理想权值集合,可以在海量权值因子中快速寻优得到最优权值组合,采用基于风险控制的调整算法实现Massive MIMO天线权值智能自动化迭代寻优。

关 键 词:4G/5G协同  Massive MIMO  天线权值  数据挖掘
收稿时间:2020-12-31
修稿时间:2021-03-05

Research on the method of 5G Massive MIMO antenna weight optimization based on Data Mining
Tian Yuan,Zhang Ya-nan,Jia lei and Li Lianben. Research on the method of 5G Massive MIMO antenna weight optimization based on Data Mining[J]. Telecom Engineering Technics and Standardization, 2021, 34(11)
Authors:Tian Yuan  Zhang Ya-nan  Jia lei  Li Lianben
Affiliation:China Mobile Group Shaanxi Co.,Ltd,China Mobile Group Shaanxi Co.,Ltd,China Mobile Group Shaanxi Co.,Ltd,China Mobile Group Shaanxi Co.,Ltd
Abstract:This paper proposed a method based on 4G/5G data mining to realize the intelligent optimization of 5G Massive MIMO antenna weight in NSA network. Combined with 4G MDT and 5G MR data, the ideal antenna weight set of the region to be optimized was obtained by clustering and shaping algorithm. The optimal weight combination can be obtained more fast among massive weight factors, and the intelligent automatic iterative optimization of MM antenna weight was realized by tuning algorithm based on risk control.
Keywords:4G/5G cooperation   massive MIMO   antenna weight   data mining
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