{"title":"移动网络中具有室内外检测的HTTP自适应流","authors":"S. Mekki, Theodoros Karagkioules, S. Valentin","doi":"10.1109/INFCOMW.2017.8116457","DOIUrl":null,"url":null,"abstract":"In mobile networks, users may lose coverage when entering a building due to the high signal attenuation at windows and walls. Under such conditions, services with minimum bit-rate requirements, such as video streaming, often show poor Quality-of-Experience (QoE). We will approach this problem in two steps. First, we present a Bayesian detector that combines measurements from two Smartphone sensors to decide if a user is inside a building or not. Second, we extend a widely-used HTTP adaptive streaming (HAS) algorithm to take coverage classification into account. Measurements in a typical office environment show high accuracy for the presented detector and superior QoE for the proposed HAS algorithm.","PeriodicalId":306731,"journal":{"name":"2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"21","resultStr":"{\"title\":\"HTTP adaptive streaming with indoors-outdoors detection in mobile networks\",\"authors\":\"S. Mekki, Theodoros Karagkioules, S. Valentin\",\"doi\":\"10.1109/INFCOMW.2017.8116457\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In mobile networks, users may lose coverage when entering a building due to the high signal attenuation at windows and walls. Under such conditions, services with minimum bit-rate requirements, such as video streaming, often show poor Quality-of-Experience (QoE). We will approach this problem in two steps. First, we present a Bayesian detector that combines measurements from two Smartphone sensors to decide if a user is inside a building or not. Second, we extend a widely-used HTTP adaptive streaming (HAS) algorithm to take coverage classification into account. Measurements in a typical office environment show high accuracy for the presented detector and superior QoE for the proposed HAS algorithm.\",\"PeriodicalId\":306731,\"journal\":{\"name\":\"2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"21\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFCOMW.2017.8116457\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOMW.2017.8116457","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
HTTP adaptive streaming with indoors-outdoors detection in mobile networks
In mobile networks, users may lose coverage when entering a building due to the high signal attenuation at windows and walls. Under such conditions, services with minimum bit-rate requirements, such as video streaming, often show poor Quality-of-Experience (QoE). We will approach this problem in two steps. First, we present a Bayesian detector that combines measurements from two Smartphone sensors to decide if a user is inside a building or not. Second, we extend a widely-used HTTP adaptive streaming (HAS) algorithm to take coverage classification into account. Measurements in a typical office environment show high accuracy for the presented detector and superior QoE for the proposed HAS algorithm.