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Enforcing Bitrate-Stability for Adaptive Streaming Traffic in Cellular Networks

Abstract : Video streaming over cellular network has become extremely popular in 4G and will be an integral part of future cellular networks. While most modern-day video clients continually adapt quality of the video stream, they neither coordinate with the network elements nor among each other. Consequently, a streaming client may quickly overload the cellular network, leading to poor Quality of Experience (QoE) for the users in the network. Motivated by this problem, we present D-VIEWS-a scheduling paradigm that assures video bitrate stability of adaptive video streams while ensuring better system utilization. D-VIEWS only needs to be aware of the set of video bitrates and requires no changes to the streaming client and other network functions. We also study, through simulations, the performance of proportional fairness scheduler and D-VIEWS in the presence of user arrival and departure events.
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https://hal.inria.fr/hal-02418530
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Submitted on : Saturday, December 21, 2019 - 11:02:50 AM
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Long-term archiving on: : Sunday, March 22, 2020 - 12:55:53 PM

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Albert Sunny, Rachid El-Azouzi, Afaf Arfaoui, Eitan Altman, Sudheer Poojary, et al.. Enforcing Bitrate-Stability for Adaptive Streaming Traffic in Cellular Networks. IEEE Transactions on Network and Service Management, IEEE, 2019, 16 (4), pp.1812-1825. ⟨10.1109/TNSM.2019.2941450⟩. ⟨hal-02418530⟩

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