Optimization method of wireless indoor coverage based on big data analysis

Yuanfeng GONG; Yi HUANG

doi:10.11959/j.issn.1000-0801.2019140

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Optimization method of wireless indoor coverage based on big data analysis

Operation technology wide Angle | 更新时间：2024-06-05

- Optimization method of wireless indoor coverage based on big data analysis
- Telecommunications Science Vol. 35, Issue 5, Pages: 149-154(2019)
- 作者机构：
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- DOI：10.11959/j.issn.1000-0801.2019140
  CLC： TN929.53
- Published Online：2019-05，
  
  Published：20 May 2019
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Yuanfeng GONG, Yi HUANG. Optimization method of wireless indoor coverage based on big data analysis[J]. Telecommunications science, 2019, 35(5): 149-154.
DOI：

Yuanfeng GONG, Yi HUANG. Optimization method of wireless indoor coverage based on big data analysis[J]. Telecommunications science, 2019, 35(5): 149-154. DOI： 10.11959/j.issn.1000-0801.2019140.

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。

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.

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Keywords

references

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