大数据分析技术在移动通信网络优化中的应用
The Application of Big Data Analysis in Mobile Communication Network Optimization
李镜1
作者信息
摘要
文章探讨大数据分析技术在移动通信网络优化中的应用,涵盖网络性能监测与故障诊断、容量规划与资源分配、流量优化与智能服务、基站布局与信号覆盖效果的优化以及用户体验改进与个性化服务 5 个方面.通过应用大数据分析技术,网络运营商能够实时监测和分析海量数据,提升网络性能和用户体验,优化资源分配和基站布局,从而提供更加个性化和智能化的服务,最终提高整体网络的效率和用户满意度.
Abstract
The article discusses the application of big data analytics in mobile communication network optimization,covering five aspects:network performance monitoring and troubleshooting,capacity planning and resource allocation,traffic optimization and intelligent service,optimization of base station layout and signal coverage effect,and user experience improvement and personalized service.Through the application of big data analytics,network operators can monitor and analyze massive data in real time,improve network performance and user experience,optimize resource allocation and base station layout,so as to provide more personalized and intelligent services,and ultimately improve overall network efficiency and user satisfaction.
关键词
大数据分析技术/移动通信/网络优化/资源分配Key words
big data analysis technology/mobile communication/network optimization/resource allocation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据