不依赖位置坐标的室内Wi-Fi网络覆盖度量方法  

Indoor Wi-Fi coverage measurement without spatial coordinates

作　　者：谢泽锋 陈伟栋[1] 黄黎霞 顾一帆 张博钧 全智 XIE Zefeng;CHEN Weidong;HUANG Lixia;GU Yifan;ZHANG Bojun;QUAN Zhi(China Mobile Group Guangdong Co.,Ltd.,Guangzhou 510623,China;State Key Laboratory of Radio Frequency Heterogeneous Integration,Shenzhen University,Shenzhen 518060,China;College of Electronics and Information Engineering,Shenzhen University,Shenzhen 518060,China;South Institute of China Academy of Information and Communications Technology(Shenzhen Academy of Information and Communications Technology),Shenzhen 518035,China)

机构地区：[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

出　　处：《物联网学报》2024年第2期71-80,共10页Chinese Journal on Internet of Things

基　　金：国家自然科学基金项目(No.62201361)。

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。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 distin‐guish 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 coordi‐nates.Experimental results show that the coverage probability measured by the proposed method is very close to the prob‐ability measured by the known spatial coordinates,and the accuracy is much higher than existing methods.

关 键 词：网络覆盖率 WI-FI网络 最小化路测 聚类算法 接收信号强度指示 

分 类 号：TN915.857[电子电信—通信与信息系统]