{"title":"针对 HTTP 实时视频流的新型分布式多源优化速率控制解决方案","authors":"Shujie Yang;Chuxing Fang;Lujie Zhong;Mu Wang;Zan Zhou;Han Xiao;Hao Hao;Changqiao Xu;Gabriel-Miro Muntean","doi":"10.1109/TBC.2024.3391051","DOIUrl":null,"url":null,"abstract":"HTTP live streaming delivers dynamically video content with varying bitrates to accommodate the dynamic real-time bandwidth fluctuations while considering diverse user preferences and device capabilities. Existing flow control solutions do not provide support for new features such as multi-source content transmission. In this paper, we propose a distributed multi-source rate control optimization algorithm (DMRCA) that maximizes the overall network bandwidth utility and improves viewer Quality of Experience (QoE). First, we model the rate control problem as a dual-optimized multi-source and multi-rate problem. Then, we decompose the problem into sub-problems of source rate selection and user rate adaptation and we prove that solving the original problem is equivalent to solving these two sub-problems. Furthermore, we propose DMRCA as a fully distributed algorithm to solve these sub-problems and derive an optimal solution and we discuss DMRCA’s complexity and convergence. Finally, through a series of simulation tests, we demonstrate the superiority of our proposed algorithm compared to alternative state-of-the-art solutions.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"70 3","pages":"792-807"},"PeriodicalIF":3.2000,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10589341","citationCount":"0","resultStr":"{\"title\":\"A Novel Distributed Multi-Source Optimal Rate Control Solution for HTTP Live Video Streaming\",\"authors\":\"Shujie Yang;Chuxing Fang;Lujie Zhong;Mu Wang;Zan Zhou;Han Xiao;Hao Hao;Changqiao Xu;Gabriel-Miro Muntean\",\"doi\":\"10.1109/TBC.2024.3391051\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"HTTP live streaming delivers dynamically video content with varying bitrates to accommodate the dynamic real-time bandwidth fluctuations while considering diverse user preferences and device capabilities. Existing flow control solutions do not provide support for new features such as multi-source content transmission. In this paper, we propose a distributed multi-source rate control optimization algorithm (DMRCA) that maximizes the overall network bandwidth utility and improves viewer Quality of Experience (QoE). First, we model the rate control problem as a dual-optimized multi-source and multi-rate problem. Then, we decompose the problem into sub-problems of source rate selection and user rate adaptation and we prove that solving the original problem is equivalent to solving these two sub-problems. Furthermore, we propose DMRCA as a fully distributed algorithm to solve these sub-problems and derive an optimal solution and we discuss DMRCA’s complexity and convergence. Finally, through a series of simulation tests, we demonstrate the superiority of our proposed algorithm compared to alternative state-of-the-art solutions.\",\"PeriodicalId\":13159,\"journal\":{\"name\":\"IEEE Transactions on Broadcasting\",\"volume\":\"70 3\",\"pages\":\"792-807\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10589341\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Broadcasting\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10589341/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Broadcasting","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10589341/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
A Novel Distributed Multi-Source Optimal Rate Control Solution for HTTP Live Video Streaming
HTTP live streaming delivers dynamically video content with varying bitrates to accommodate the dynamic real-time bandwidth fluctuations while considering diverse user preferences and device capabilities. Existing flow control solutions do not provide support for new features such as multi-source content transmission. In this paper, we propose a distributed multi-source rate control optimization algorithm (DMRCA) that maximizes the overall network bandwidth utility and improves viewer Quality of Experience (QoE). First, we model the rate control problem as a dual-optimized multi-source and multi-rate problem. Then, we decompose the problem into sub-problems of source rate selection and user rate adaptation and we prove that solving the original problem is equivalent to solving these two sub-problems. Furthermore, we propose DMRCA as a fully distributed algorithm to solve these sub-problems and derive an optimal solution and we discuss DMRCA’s complexity and convergence. Finally, through a series of simulation tests, we demonstrate the superiority of our proposed algorithm compared to alternative state-of-the-art solutions.
期刊介绍:
The Society’s Field of Interest is “Devices, equipment, techniques and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.” In addition to this formal FOI statement, which is used to provide guidance to the Publications Committee in the selection of content, the AdCom has further resolved that “broadcast systems includes all aspects of transmission, propagation, and reception.”