一种基于Python的5G网络数智优化方法

A 5g network intelligence optimization method based on Python

随着5G网络的规模建设,当前存在5G、4G、2G三网共存,网络结构复杂,互操作策略复杂,参数配置、邻区配置更为复杂的问题。对于网络优化人员来说,面临的难点和痛点就是:数据量大、人工分析核查困难、人工执行易错等,此类问题既是常见问题,又是基础性、周期性工作,人工分析核查时效性低,外包优化人员成本高,需要既懂原理又熟悉参数策略配置的中高级优化人员。为解决上述问题,内蒙古移动公司优化人员基于Python语言开发了一套自动化、智能化的邻区及参数优化系统,大大提升网络优化效率,降本增效成果显著。

With the large-scale construction of 5g network,there are three existing networks:5G,4G and 2G.The network structure is complex,the interoperability strategy is complex,and the parameter configuration and adjacent cell configuration are more complex.At present,the difficulties and pain points faced by network optimization personnel are:large amount of data,difficult manual analysis and verification,easy manual execution,etc.these problems are common problems,basic and periodic work,low timeliness of manual analysis and verification,high cost of outsourcing optimization personnel,and need middle and senior optimization personnel who understand the principle and are familiar with parameter strategy configuration.In order to solve the above problems,the optimization personnel of Inner Mongolia Mobile have developed an automatic and intelligent adjacent area and parameter optimization system based on Python language,which has greatly improved the network optimization efficiency,reduced costs and increased efficiency.