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作 者:邵瑞强 SHAO Ruiqiang(Shuohuang Railway Development Co.,Ltd.,Yuanping Branch,Yuanping,Shanxi 034100,China)
机构地区:[1]朔黄铁路发展有限责任公司原平分公司,山西原平034100
出 处:《移动信息》2024年第9期24-26,共3页Mobile Information
摘 要:作为现代社会的重要基础设施之一,移动通信网络的性能优化对提高通信质量、降低通信成本具有重要意义.文中基于大数据分析技术,探讨了移动通信网络性能优化的策略与实现方法.首先,介绍了移动通信网络的架构特点、面临的性能问题和挑战、性能评价方法等.然后,讨论了大数据分析技术在通信网络优化中的应用,包括数据采集与处理、具体应用场景以及其对网络性能优化的影响.最后,提出了基于大数据分析的网络负载优化、故障诊断与恢复策略、网络资源管理与优化等性能优化策略,并阐述了具体的实现方法.通过研究,希望能为移动通信网络的性能优化提供参考和指导.As one of the important infrastructures in modern society,the performance optimization of mobile communication networks is of great significance for improving communication quality and reducing communication costs.Based on big data analytics technology,this paper discusses the strategies and implementation methods of mobile communication network performance optimization.First,the architectural characteristics of mobile communication networks,the performance problems and challenges faced,and the performance evaluation methods are introduced.Then,the application of big data analytics technology in communication network optimization is discussed,including data collection and processing,specific application scenarios,and its impact on network performance optimization.Finally,the performance optimization strategies such as network load optimization,fault diagnosis and recovery strategies,network resource management and optimization based on big data analytics are proposed,and the specific implementation methods are expounded.Through research,we hope to provide reference and guidance for the performance optimization of mobile communication networks.
关 键 词:移动通信网络 大数据分析 性能优化 网络负载 故障诊断 资源管理
分 类 号:TN929.5[电子电信—通信与信息系统]
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