{"title":"一种用于软件定义WiFi网络规划的潜在WiFi热点定位系统","authors":"Wang Xu-fang, Lin Feng, Wu Yi","doi":"10.1109/CCNC.2019.8651733","DOIUrl":null,"url":null,"abstract":"WiFi networks are playing an increasingly important role in the current networks towards the future 5G heterogeneous networks. The pertinence and effectiveness of WiFi network planning and construction, however, is demanding. To solve this problem, a novel positioning system for the potential WiFi hotspots is presented in this paper. The system can analyze the scale of the WiFi users for each site and then locate the potential WiFi hotspots accurately through detecting WiFi network card signals without contact. Accordingly, the WiFi network planning, especially software defined WiFi network planning can be refined and optimized.","PeriodicalId":93293,"journal":{"name":"IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference","volume":"19 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Novel Positioning System of Potential WiFi Hotspots for Software Defined WiFi Network Planning\",\"authors\":\"Wang Xu-fang, Lin Feng, Wu Yi\",\"doi\":\"10.1109/CCNC.2019.8651733\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"WiFi networks are playing an increasingly important role in the current networks towards the future 5G heterogeneous networks. The pertinence and effectiveness of WiFi network planning and construction, however, is demanding. To solve this problem, a novel positioning system for the potential WiFi hotspots is presented in this paper. The system can analyze the scale of the WiFi users for each site and then locate the potential WiFi hotspots accurately through detecting WiFi network card signals without contact. Accordingly, the WiFi network planning, especially software defined WiFi network planning can be refined and optimized.\",\"PeriodicalId\":93293,\"journal\":{\"name\":\"IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference\",\"volume\":\"19 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCNC.2019.8651733\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Consumer Communications and Networking Conference. IEEE Consumer Communications and Networking Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2019.8651733","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Novel Positioning System of Potential WiFi Hotspots for Software Defined WiFi Network Planning
WiFi networks are playing an increasingly important role in the current networks towards the future 5G heterogeneous networks. The pertinence and effectiveness of WiFi network planning and construction, however, is demanding. To solve this problem, a novel positioning system for the potential WiFi hotspots is presented in this paper. The system can analyze the scale of the WiFi users for each site and then locate the potential WiFi hotspots accurately through detecting WiFi network card signals without contact. Accordingly, the WiFi network planning, especially software defined WiFi network planning can be refined and optimized.
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