Marcos Carvalho, Vinicius F. e Silva, E. B. Silva, D. Macedo, H. C. D. Resende, J. Márquez-Barja, C. Both, Augusto Zanella Bardini, Juliano Araujo Wickboldt
{"title":"QoE-Based Video Orchestration for 4G Networks","authors":"Marcos Carvalho, Vinicius F. e Silva, E. B. Silva, D. Macedo, H. C. D. Resende, J. Márquez-Barja, C. Both, Augusto Zanella Bardini, Juliano Araujo Wickboldt","doi":"10.1109/PIMRC.2019.8904329","DOIUrl":null,"url":null,"abstract":"Quality of Experience (QoE) should be the driver for network orchestration in 4G networks. At the same time, the network must be able to cope with high bandwidth requirements from applications such as video streaming, while dealing with a large number of users. This paper proposes a network orchestrator that adjusts network parameters to improve QoE of video streaming. The orchestrator uses Device-to-Device (D2D) communication to improve user’s QoE, also reducing the demand on 4G network. The use of D2D is triggered by a machine learning engine. Experiments made in a physical testbed show an improvement on the mean horizontal video resolution from 768 to 1280 pixels, as well as a decrease of around 90% at the impact on the QoE, considering the number of video resolution changes. Finally, the demand on the network backhaul is decreased by around 38%.","PeriodicalId":412182,"journal":{"name":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.2019.8904329","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
Quality of Experience (QoE) should be the driver for network orchestration in 4G networks. At the same time, the network must be able to cope with high bandwidth requirements from applications such as video streaming, while dealing with a large number of users. This paper proposes a network orchestrator that adjusts network parameters to improve QoE of video streaming. The orchestrator uses Device-to-Device (D2D) communication to improve user’s QoE, also reducing the demand on 4G network. The use of D2D is triggered by a machine learning engine. Experiments made in a physical testbed show an improvement on the mean horizontal video resolution from 768 to 1280 pixels, as well as a decrease of around 90% at the impact on the QoE, considering the number of video resolution changes. Finally, the demand on the network backhaul is decreased by around 38%.