摘要
本文详细介绍了一种基于垂直行业场景的5G网络综合评估方法,利用大数据手段将海量的用户数据和行业场景数据进行降维、映射和加权处理后,转换成为场景级直观数据,并以网络性能和用户趋势构建评估分析体系。该评估体系输出的是一个可靠的量化结果,每一个应用场景都有一个专属结果,通过分析每个场景中用户发展趋势和网络性能状态得到平衡关系,能够为5G网络的规划建设、市场拓展、维护优化等工作提供方向指引和数据支撑。
This paper introduces a comprehensive evaluation method of 5G network based on vertical industry scenario in detail.By using big data method,massive user data and industry scenario data are processed by dimensionality reduction,mapping and weighting,and then transformed into scene level intuitive data,and an evaluation and analysis system is constructed based on network performance and user trend.The output of the evaluation system is a reliable quantitative result,and each application scenario has an exclusive result.By analyzing the user development trend and network performance state in each scenario,we can get a balance relationship,which can provide direction guidance and data support for 5G network planning and construction,market expansion,maintenance and optimization.
作者
付航
方东旭
FU Hang;FANG Dong-xu(China Mobile Group Chongqing Co.,Ltd.,Chongqing 401121,China)
出处
《电信工程技术与标准化》
2020年第5期8-14,共7页
Telecom Engineering Technics and Standardization
关键词
5G
垂直行业
评估体系
大数据
5G
vertical industry
evaluation system
big data
