Jian Guan, Lexi Xu, Tao Zhang, Jie Gao, Xinzhou Cheng
{"title":"Research on Evaluation Method of Wireless Network Cross-Boundary Coverage Based on Smart Terminals Location Data","authors":"Jian Guan, Lexi Xu, Tao Zhang, Jie Gao, Xinzhou Cheng","doi":"10.1109/IUCC/DSCI/SmartCNS.2019.00127","DOIUrl":null,"url":null,"abstract":"The existing evaluation methods of wireless network cross-boundary coverage are either uneconomical or poorly effective. Based on location data of APP sampling points from smart terminals, a novel evaluation method is proposed which can accurately and quickly locate cross-boundary coverage issues of base stations. On one hand, using location data comes from GPS positioning data of user terminals, its error is smaller than using from the network. On the other hand, APP data collected from massive users in the existing network covers complex and diverse scenarios, making the evaluation applicable, reliable, accurate, and economical.","PeriodicalId":410905,"journal":{"name":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The existing evaluation methods of wireless network cross-boundary coverage are either uneconomical or poorly effective. Based on location data of APP sampling points from smart terminals, a novel evaluation method is proposed which can accurately and quickly locate cross-boundary coverage issues of base stations. On one hand, using location data comes from GPS positioning data of user terminals, its error is smaller than using from the network. On the other hand, APP data collected from massive users in the existing network covers complex and diverse scenarios, making the evaluation applicable, reliable, accurate, and economical.