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Article: Buffer State is Enough: Simplifying the Design of QoE-Aware HTTP Adaptive Video Streaming

TitleBuffer State is Enough: Simplifying the Design of QoE-Aware HTTP Adaptive Video Streaming
Authors
Keywordscontrol theory
buffer state
rate-adaption
DASH
Issue Date2018
Citation
IEEE Transactions on Broadcasting, 2018, v. 64, n. 2, p. 590-601 How to Cite?
Abstract© 1963-12012 IEEE. Recently, the prevalence of mobile devices together with the outburst of user-generated contents has fueled the tremendous growth of the Internet traffic taken by video streaming. To improve user-perceived quality-of-experience (QoE), dynamic adaptive streaming via HTTP (DASH) has been widely adopted by practical systems to make streaming smooth under limited bandwidth. However, previous DASH approaches mostly performed complicated rate adaptation based on bandwidth estimation, which has been proven to be unreliable over HTTP. In this paper, we simplify the design by only exploiting client-side buffer state information and propose a pure buffer-based DASH scheme to optimize user QoE. Our approach can not only get rid of the drawback caused by inaccurate bandwidth estimation, but also incur very limited overhead. We explicitly define an integrated user QoE model, which takes playback freezing, bitrate switch, and video quality into account, and then formulate the problem into a non-linear stochastic optimal control problem. Next, we utilize control theory to design a dynamic buffer-based controller for DASH, which determines video bitrate of each chunk to be requested and stabilize the buffer level in the meanwhile. Extensive experiments have been conducted to validate the advantages of our approach, and the results show that our approach can achieve the best performance compared with other alternative approaches.
Persistent Identifierhttp://hdl.handle.net/10722/281478
ISSN
2020 Impact Factor: 3.863
2020 SCImago Journal Rankings: 0.782
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorHuang, Weiwei-
dc.contributor.authorZhou, Yipeng-
dc.contributor.authorXie, Xueyan-
dc.contributor.authorWu, Di-
dc.contributor.authorChen, Min-
dc.contributor.authorNgai, Edith-
dc.date.accessioned2020-03-13T10:37:58Z-
dc.date.available2020-03-13T10:37:58Z-
dc.date.issued2018-
dc.identifier.citationIEEE Transactions on Broadcasting, 2018, v. 64, n. 2, p. 590-601-
dc.identifier.issn0018-9316-
dc.identifier.urihttp://hdl.handle.net/10722/281478-
dc.description.abstract© 1963-12012 IEEE. Recently, the prevalence of mobile devices together with the outburst of user-generated contents has fueled the tremendous growth of the Internet traffic taken by video streaming. To improve user-perceived quality-of-experience (QoE), dynamic adaptive streaming via HTTP (DASH) has been widely adopted by practical systems to make streaming smooth under limited bandwidth. However, previous DASH approaches mostly performed complicated rate adaptation based on bandwidth estimation, which has been proven to be unreliable over HTTP. In this paper, we simplify the design by only exploiting client-side buffer state information and propose a pure buffer-based DASH scheme to optimize user QoE. Our approach can not only get rid of the drawback caused by inaccurate bandwidth estimation, but also incur very limited overhead. We explicitly define an integrated user QoE model, which takes playback freezing, bitrate switch, and video quality into account, and then formulate the problem into a non-linear stochastic optimal control problem. Next, we utilize control theory to design a dynamic buffer-based controller for DASH, which determines video bitrate of each chunk to be requested and stabilize the buffer level in the meanwhile. Extensive experiments have been conducted to validate the advantages of our approach, and the results show that our approach can achieve the best performance compared with other alternative approaches.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Broadcasting-
dc.subjectcontrol theory-
dc.subjectbuffer state-
dc.subjectrate-adaption-
dc.subjectDASH-
dc.titleBuffer State is Enough: Simplifying the Design of QoE-Aware HTTP Adaptive Video Streaming-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TBC.2018.2789580-
dc.identifier.scopuseid_2-s2.0-85041680604-
dc.identifier.volume64-
dc.identifier.issue2-
dc.identifier.spage590-
dc.identifier.epage601-
dc.identifier.isiWOS:000434455200022-
dc.identifier.issnl0018-9316-

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