{"title":"Video Streaming over the LWA Systems","authors":"Jounsup Park","doi":"10.1109/ICCNC.2019.8685626","DOIUrl":null,"url":null,"abstract":"In this paper, a quality-driven packet scheduling algorithm for DASH streaming is proposed for the LTE Wi-Fi Aggregation (LWA) systems. The playback buffer status on the receiver side and the network conditions for LTE and Wi-Fi are used to effectively control the video rate. To estimate the network conditions, the distributions of the packet inter-arrival times of both paths are used. The playback buffer is modeled to find the probability of the successful arrival of the assigned video packets before the playback buffer depletes. A convex optimization method is used to find the optimal packet distribution for the LTE and Wi-Fi. Simulation results based on NS-3 show that the proposed algorithm can stream the video with the best quality in terms of the utility while having less probability than other methods of re-buffering while the video is playing.","PeriodicalId":161815,"journal":{"name":"2019 International Conference on Computing, Networking and Communications (ICNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Computing, Networking and Communications (ICNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCNC.2019.8685626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In this paper, a quality-driven packet scheduling algorithm for DASH streaming is proposed for the LTE Wi-Fi Aggregation (LWA) systems. The playback buffer status on the receiver side and the network conditions for LTE and Wi-Fi are used to effectively control the video rate. To estimate the network conditions, the distributions of the packet inter-arrival times of both paths are used. The playback buffer is modeled to find the probability of the successful arrival of the assigned video packets before the playback buffer depletes. A convex optimization method is used to find the optimal packet distribution for the LTE and Wi-Fi. Simulation results based on NS-3 show that the proposed algorithm can stream the video with the best quality in terms of the utility while having less probability than other methods of re-buffering while the video is playing.