摘要
后台数据是相对于道路测试数据而言的。一般来说,在移动通信网络优化领域,按工作内容和工作职责来说,分为前台和后台两种。前台主要是指道路测试,定点测试,现场调整等工作类型;而后台则主要是指网络KPI分析与优化,故障排查与定位,告警监控与处理等工作类型。本文提出了基于聚类分析来对纷杂的后台数据进行处理和优化,从而提升网络KPI,提高用户感知度的一种移动通信网络优化方法。
Background data is relative to road test data.Generally speaking,in the field of mobile communication network optimization,according to work content and job responsibilities,it is divided into foreground and background.The front desk mainly refers to the types of work such as road test,fixed-point test,and on-site adjustment;while the back office mainly refers to the types of work such as network KPI analysis and optimization,fault troubleshooting and positioning,and alarm monitoring and processing.This paper proposes a mobile communication network optimization method based on cluster analysis to process and optimize the background data,so as to improve the network KPI and improve user perception.
出处
《数码设计》
2018年第18期9-9,共1页
Peak Data Science
关键词
移动信息技术
后台数据优化
mobile information technology
background data optimization
