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作 者:张国鹏[1] 周奕昕 Zhang Guopeng;Zhou Yixin(China Unicom Jiangsu Branch,Nanjing 210000,China)
出 处:《邮电设计技术》2022年第7期1-6,共6页Designing Techniques of Posts and Telecommunications
摘 要:终端大数据采用众测数据,具有不限制式、不限厂商、不限区域、真实反映网络实际的特点,能快速实现区域级、小区级、栅格级等多种维度的覆盖评估、性能评估、体验评估工作。基于终端大数据对网络进行分析,研究了终端大数据在精准指导站点规划、共建共享覆盖一致性分析、站点建设后评估、楼宇覆盖变化分析等方面的应用价值,在网络竞对分析领域,整体评估分析周期较传统方式大幅缩短,测试工作量明显下降,实现网络质量和投资效益的双提升。The terminal big data adopts crowd-measurement data,which has the characteristics of being unlimited,not limited to manufacturers,not limited to regions,and truly reflects the actual situation of the network.It can quickly realize coverage evaluation,performance evaluation and experience evaluation in various dimensions such as regional,cell and grid levels.It uses terminal big data to analyze the network,and studies the application value of terminal big data in accurately guiding site planning,coconstruction and sharing coverage consistency analysis,post-construction evaluation and building coverage change analysis.In the field of network competition analysis,the overall evaluation and analysis cycle is greatly shortened compared with the traditional method,and the test workload is significantly reduced,which both improves the network quality and investment benefit.
分 类 号:TN929.5[电子电信—通信与信息系统]
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