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Performance analysis of video streaming services in mobile networks

Abstract : As the traffic of video streaming increases significantly in mobile networks, it is essential for oper- ators to account for the features of this traffic when dimensioning and configuring the network. The focus of this thesis is on traffic models of video streaming in mobile networks. For real-time video streaming traffic, we derive an analytical form for an important Quality-of-Service (QoS) metric, the packet outage rate, and utilize the model for dimensioning. For HTTP adaptive video streaming traffic, we propose and evaluate other QoS metrics such as the mean video bit rate, the deficit rate and the buffer surplus, so as to find the good trade-off between video resolution and playback smoothness. We study by simulation the impacts of some key parameters of the system. We show that using smaller chunk durations, fewer video coding rates and round-robin scheduling may provide a smoother video playback but decrease the mean video resolution. We also propose to adapt the number of chunks downloaded in an HTTP request so that each HTTP request has the same data volume. Finally, we apply machine learning techniques to analyze the correlation between system characteristics and the quality of experience (QoE) of users.
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Submitted on : Wednesday, March 28, 2018 - 6:25:07 PM
Last modification on : Friday, July 31, 2020 - 10:44:08 AM
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  • HAL Id : tel-01745988, version 1


Yu-Ting Lin. Performance analysis of video streaming services in mobile networks. Networking and Internet Architecture [cs.NI]. Télécom ParisTech, 2016. English. ⟨NNT : 2016ENST0080⟩. ⟨tel-01745988⟩



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