{"title":"Predicting video call quality in future mobile networks","authors":"Blazej Lewcio, S. Möller","doi":"10.1109/QoMEX.2012.6263852","DOIUrl":null,"url":null,"abstract":"Video calls performed in heterogeneous mobile networks are affected by time-varying quality changes. Packet loss or transmission adaptation by network handover, bit rate switching, or codec changeover, are the potential results of user mobility. In order to optimize the quality under these circumstances, quality monitoring plays an essential role to improve user experience in future mobile networks. However, the existing quality prediction models have not been fully validated for video telephony in future networks. In this paper, we analyse the applicability of speech, video, and call quality prediction models for video telephony in heterogeneous wireless networks. We focus on user perception of changing transmission quality. We show how accurately the quality of video calls in mobile networks can be predicted with the existing approaches, and we disclose the major limitations of the individual models. Thus, this paper contributes to the monitoring of video call quality in future mobile networks.","PeriodicalId":6303,"journal":{"name":"2012 Fourth International Workshop on Quality of Multimedia Experience","volume":"30 1","pages":"140-145"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Fourth International Workshop on Quality of Multimedia Experience","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/QoMEX.2012.6263852","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Video calls performed in heterogeneous mobile networks are affected by time-varying quality changes. Packet loss or transmission adaptation by network handover, bit rate switching, or codec changeover, are the potential results of user mobility. In order to optimize the quality under these circumstances, quality monitoring plays an essential role to improve user experience in future mobile networks. However, the existing quality prediction models have not been fully validated for video telephony in future networks. In this paper, we analyse the applicability of speech, video, and call quality prediction models for video telephony in heterogeneous wireless networks. We focus on user perception of changing transmission quality. We show how accurately the quality of video calls in mobile networks can be predicted with the existing approaches, and we disclose the major limitations of the individual models. Thus, this paper contributes to the monitoring of video call quality in future mobile networks.