Enforcing Bitrate-Stability for Adaptive Streaming Traffic in Cellular Networks

Albert Sunny (1) , Rachid El-Azouzi (2) , Afaf Arfaoui (2) , Eitan Altman (3, 4, 2, 5) , Sudheer Poojary (2) , Dimitrios Tsilimantos (6) , Stefan Valentin (7)

1 ITT Palakkad - Indian Institut of Technology [Palakkad]
2 LIA - Laboratoire Informatique d'Avignon
3 NEO - Network Engineering and Operations
4 COMUE UCA - COMUE Université Côte d'Azur (2015-2019)
5 LINCS - Laboratory of Information, Network and Communication Sciences
6 Huawei Technologies France
7 TU Darmstadt - Technische Universität Darmstadt - Technical University of Darmstadt

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.

Mots clés: Adaptive Video Streaming; DASH; Scheduling; Rate Control

Domaines: Informatique et théorie des jeux [cs.GT]

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, 2019, 16 (4), pp.1812-1825. ⟨10.1109/TNSM.2019.2941450⟩. ⟨hal-02418530⟩