Indoor Wi-Fi coverage measurement without spatial coordinates

XIE Zefeng; CHEN Weidong; HUANG Lixia; GU Yifan; ZHANG Bojun; QUAN Zhi

doi:10.11959/j.issn.2096-3750.2024.00397

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Indoor Wi-Fi coverage measurement without spatial coordinates

Theory and Technology | 更新时间：2024-08-16

- Indoor Wi-Fi coverage measurement without spatial coordinates
- Chinese Journal on Internet of Things Vol. 8, Issue 2, Pages: 71-80(2024)
- 作者机构：
  
  1.中国移动通信集团广东有限公司,广东广州 510623
  2.深圳大学射频异质异构集成全国重点实验室,广东深圳 518060
  3.深圳大学电子与信息工程学院,广东深圳 518060
  4.中国信息通信研究院南方分院(深圳信息通信研究院),广东深圳 518035
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62201361)
- DOI：10.11959/j.issn.2096-3750.2024.00397
  CLC：
- Received：26 March 2024，
  
  Revised：2024-06-15，
  
  Published：10 June 2024
- 稿件说明：
移动端阅览
谢泽锋,陈伟栋,黄黎霞等.不依赖位置坐标的室内Wi-Fi网络覆盖度量方法[J].物联网学报,2024,08(02):71-80.

XIE Zefeng,CHEN Weidong,HUANG Lixia,et al.Indoor Wi-Fi coverage measurement without spatial coordinates[J].Chinese Journal on Internet of Things,2024,08(02):71-80.
谢泽锋,陈伟栋,黄黎霞等.不依赖位置坐标的室内Wi-Fi网络覆盖度量方法[J].物联网学报,2024,08(02):71-80. DOI： 10.11959/j.issn.2096-3750.2024.00397.

XIE Zefeng,CHEN Weidong,HUANG Lixia,et al.Indoor Wi-Fi coverage measurement without spatial coordinates[J].Chinese Journal on Internet of Things,2024,08(02):71-80. DOI： 10.11959/j.issn.2096-3750.2024.00397.

摘要

3GPP在版本16（R16

Release 16）中升级了最小化路测（MDT

minimization of drive test）技术，提出移动终端可利用4G/5G网络自主上报Wi-Fi信号的接收信号强度指示（RSSI

received signal strength indicator），为运营商度量Wi-Fi网络的覆盖率带来了可能性。然而，现有基于MDT技术的网络覆盖度量方法严重依赖GPS提供的位置坐标，但全球定位系统（GPS

global positioning system）不能提供室内精准定位，无法用于室内Wi-Fi网络的覆盖度量。为此，提出了一种不依赖位置坐标的RSSI聚类方法，充分利用室内相近位置RSSI的统计相似性，区分不同位置的RSSI测量差异，在无位置坐标条件下准确估计出室内Wi-Fi网络的覆盖率。实验结果表明，所提方法估计的覆盖率与基于真实位置坐标测量的覆盖率相近，度量准确度明显优于现有的其他方法。

Abstract

In R16

3GPP proposed that user devices could utilize the 4G/5G cellular networks to report the received signal strength indicator (RSSI) of Wi-Fi signal based on the existing minimization of drive test (MDT) technology

making it possible to measure the coverage probability of indoor Wi-Fi networks. However

existing measurement methods of network coverage probability based on the MDT require the spatial coordinates provided by the GPS. As GPS has poor indoor localization accuracy

it is not able to be applied to indoor Wi-Fi networks. A measurement method for network coverage probability based on clustering without spatial coordinates was proposed. The proposed method could distinguish RSSI measurement reported on different locations

with the fact that their statistics were similar at similar locations. The coverage probability was accurately measured by utilizing the clustering results without knowing the spatial coordinates. Experimental results show that the coverage probability measured by the proposed method is very close to the probability measured by the known spatial coordinates

and the accuracy is much higher than existing methods.

关键词

Keywords

references

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