Accurate Throughput Prediction for Improving QoE in Mobile Adaptive Streaming

doi:10.1109/TMC.2023.3313592

	Accurate Throughput Prediction for Improving QoE in Mobile Adaptive Streaming
	Lv, Gerui 1,2; Wu, Qinghua 1,2,3; Tan, Qingyue 1,2; Wang, Weiran 1,2; Li, Zhenyu 1,2,3; Xie, Gaogang 2,4
	2024-05-01
发表期刊	IEEE TRANSACTIONS ON MOBILE COMPUTING
ISSN	1536-1233
卷号	23 期号:5 页码:5799-5817
摘要	Video streaming is the most important mobile application today. To improve users' quality of experience (QoE), the client player runs adaptive bitrate (ABR) algorithms that dynamically select the bitrate for video chunks based on throughput or delivery time predictions. This paper aims to design an accurate predictor for mobile adaptive streaming by investigating all its components, including input features, output target, and mapping function. We construct the first theoretical framework that reveals potential factors affecting chunk throughput and delivery time. To verify this framework, we provide formulation analysis and measurement observations based on 2500+ video sessions collected in real-world mobile networks. We find that previous works have failed to achieve accurate prediction due to overlooking the impact of the transport mechanism and application behavior on throughput. Furthermore, we show that throughput is a better target for data-driven predictors than delivery time, due to the long-tailed distribution of delivery time. Based on the above, we propose Lumos, a decision-tree-based throughput predictor that can be integrated into various ABR algorithms. Extensive experiments in real-world mobile Internet show that Lumos achieves high prediction accuracy and improves the QoE of MPC by 6.3%, and MPC+Lumos outperforms Pensieve by 19.2%.
关键词	Adaptive streaming mobile internet QoE improvement throughput prediction
DOI	10.1109/TMC.2023.3313592
收录类别	SCI
语种	英语
资助项目	National Key R#x0026;D Program of China
WOS研究方向	Computer Science ; Telecommunications
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:001198016900056
出版者	IEEE COMPUTER SOC
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/39688
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Xie, Gaogang
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 101408, Peoples R China 2.Univ Chinese Acad Sci, Beijing 101408, Peoples R China 3.Purple Mt Labs, Nanjing 211100, Peoples R China 4.Chinese Acad Sci, Comp Network Informat Ctr, Beijing 101408, Peoples R China
推荐引用方式 GB/T 7714	Lv, Gerui,Wu, Qinghua,Tan, Qingyue,et al. Accurate Throughput Prediction for Improving QoE in Mobile Adaptive Streaming[J]. IEEE TRANSACTIONS ON MOBILE COMPUTING,2024,23(5):5799-5817.
APA	Lv, Gerui,Wu, Qinghua,Tan, Qingyue,Wang, Weiran,Li, Zhenyu,&Xie, Gaogang.(2024).Accurate Throughput Prediction for Improving QoE in Mobile Adaptive Streaming.IEEE TRANSACTIONS ON MOBILE COMPUTING,23(5),5799-5817.
MLA	Lv, Gerui,et al."Accurate Throughput Prediction for Improving QoE in Mobile Adaptive Streaming".IEEE TRANSACTIONS ON MOBILE COMPUTING 23.5(2024):5799-5817.