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基于5G时长驻留的分析及优化提升方法
引用本文:苏翰,慕建凯,耿鲁静,梁上燕.基于5G时长驻留的分析及优化提升方法[J].电信工程技术与标准化,2022,35(4):62-66.
作者姓名:苏翰  慕建凯  耿鲁静  梁上燕
作者单位:中国移动通信集团有限公司,北京 100032,中国移动通信集团江西有限公司,南昌 330038,中国移动通信集团设计院有限公司,北京 100080
摘    要:随着中国移动5G网络的逐步发展,目前已实现城区的5G网络连片覆盖,全网5G用户大规模增长。本文通过对经分数据用户产生的话单,结合用户使用的网络类型,利用成熟的经分平台,实现直接针对用户使用的网络、流量、时长等方面的分析,直观的体现了用户在5G网络的驻留时长占比以及5G网络的流量占比,为网络优化工作提供了重要分析依据。

关 键 词:5G  SA  驻留比
收稿时间:2021/3/10 0:00:00
修稿时间:2021/5/10 0:00:00

Application of data statistics based on 5G dwell ratio
SU Han,MU Jian-kai,GENG Lu-jing,LIANG Shang-yan.Application of data statistics based on 5G dwell ratio[J].Telecom Engineering Technics and Standardization,2022,35(4):62-66.
Authors:SU Han  MU Jian-kai  GENG Lu-jing  LIANG Shang-yan
Affiliation:China Mobile Communications Group Co,Ltd,China''s Jiangxi Mobile Communications Co, Ltd,China Mobile Group Design Institute Co, Ltd,China Mobile Group Design Institute Co, Ltd
Abstract:With the gradual development of China Mobile"s 5GG network, 5g network coverage has been achieved in urban areas. At the same time, after the National Day in October, 5G users in the whole network are growing on a large scale. How to accurately analyze the network performance and intuitively reflect the user perception has become a hot topic At present, network optimization is the focus and difficulty. In this paper, through the analysis of the call list generated by the data users, combined with the network types used by the users, and using the mature economic sub platform, we can directly analyze the network, traffic, duration and other aspects used by the users, intuitively reflect the proportion of the residence time of the users in the 5G network and the traffic proportion of the 5G network, and provide an important analysis basis for the network optimization work.
Keywords:5G SA dwell ratio
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