电信科学 ›› 2019, Vol. 35 ›› Issue (5): 149-154.doi: 10.11959/j.issn.1000-0801.2019140

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基于大数据分析的室内深度覆盖优化方法研究

宫元峰,黄轶   

  1. 中国联合网络通信有限公司辽宁省分公司,辽宁 沈阳 110003
  • 修回日期:2019-05-09 出版日期:2019-05-20 发布日期:2019-05-21
  • 作者简介:宫元峰(1971- ),男,中国联合网络通信有限公司辽宁省分公司工程师,主要研究方向为无线网络的发展及新技术。|黄轶(1982- ),男,中国联合网络通信有限公司辽宁省分公司工程师,主要研究方向为无线网络的发展及新技术。

Optimization method of wireless indoor coverage based on big data analysis

Yuanfeng GONG,Yi HUANG   

  1. Liaoning Branch of China United Network Communications Co.,Ltd.,Shenyang 110003,China
  • Revised:2019-05-09 Online:2019-05-20 Published:2019-05-21

摘要:

室内深度覆盖传统预测方式包括用户投诉、CQT和传播模型校正,此方法的预测误差和工作量都比较大。首先介绍了室内覆盖优化方法,然后介绍了基于大数据的室内深度覆盖优化方法,显著提升了网络质量与用户感知,最后介绍了应用案例,为后期室内深度覆盖建设、优化和维护提供了非常重要的参考和指导意义。

关键词: 大数据, MR, 投资效益, 室内深度覆盖

Abstract:

The indoor prediction method of indoor depth coverage includes user complaints,CQT and propagation model correction,and the prediction error of these methods is large.Firstly,the indoor coverage optimization method was introduced.Then,the indoor deep coverage optimization method based on big data was introduced,which significantly improved the network quality and user perception.Finally,the application case was introduced,which provided a very important reference and guiding significance for the construction,optimization and maintenance of indoor deep coverage in the later period.

Key words: big data, MR, investment efficiency, wireless indoor coverage

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