A unified framework for automatic quality-of-experience optimization in mobile video streaming
Refereed conference paper presented and published in conference proceedings

香港中文大學研究人員
替代計量分析
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其它資訊
摘要Mobile video streaming is one of the fastest growing applications in the mobile Internet. Nevertheless, delivering high-quality streaming video over mobile networks remains a challenge. Researchers have since developed various novel streaming algorithms such as rate-adaptive streaming to improve the performance of mobile streaming services. However, selection or optimization of streaming algorithms is far from trivial and there is no systematic way to incorporate the tradeoffs between various performance metrics. This work aims at attacking the heart of the problem by developing a novel framework called Post Streaming Quality Analysis (PSQA) to automatically tune any streaming algorithms to maximize a given quality-of-experience (QoE) objective. We show that PSQA not only can be applied to optimize the performance of existing streaming algorithms, but also opens a new way for the exploration of new adaptive video streaming protocols and QoE metrics. Simulation results based on real network throughput traces show that PSQA can optimize existing and new streaming algorithms to achieve QoE that is remarkably close to the optimal achieved using brute-force method ex post facto.
著者Liu Y., Lee J.Y.B.
會議名稱35th Annual IEEE International Conference on Computer Communications, IEEE INFOCOM 2016
會議開始日10.04.2016
會議完結日14.04.2016
會議地點San Francisco
會議國家/地區美國
詳細描述organized by IEEE & IEEE communication society,
出版年份2016
月份7
日期27
卷號2016-July
國際標準書號9781467399531
國際標準期刊號0743-166X
語言英式英語
關鍵詞Mobile Network, Quality-of-Experience, Video Streaming

上次更新時間 2021-16-09 於 00:52