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Articles
Enforcing Bitrate-Stability for Adaptive Streaming Traffic in Cellular NetworksPublished in Institute of Electrical and Electronics Engineers Inc.
2019
Volume: 16
Issue: 4
Pages: 1812 - 1825
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 video streams, they neither coordinate with network elements nor among each other. Consequently, a streaming client may quickly overload the cellular network, leading to poor Quality of Experience (QoE) for 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 streaming clients and other network functions. Through simulations, we also study the performance of proportional fairness scheduler and D-VIEWS in the presence of user arrival and departure events. © 2004-2012 IEEE.
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Topics: Cellular network (53)%53% related to the paper, Quality of experience (52)%52% related to the paper, Scheduling (computing) (51)%51% related to the paper and Network element (50)%50% related to the paper
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Content may be subject to copyright.© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in a... ...© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Figures & Tables (14)
Fig. 1: A mapping of buffer level to discrete video bitrates. 
TABLE I: Number of video bitrate switches and average video ... 
Fig. 3: Video bitrates requested during a 3.2minute ... 
Fig. 2: Evolution of the DASH client’s playout buffer level ... 
Fig. 4: 4 user network, αi = 1∀1 ≤ i ≤ 4, user ... 
Fig. 7: Algo. 2: 6 user network, αi = 1 ∀1 ≤ i ≤ 6, tmin = 100, ... 
Fig. 8: Impact of D-VIEWS on a DASH user in the presence ... 
Fig. 9: Impact of PF scheduler on a DASH user in the presence ... - 6 figures hidden
About the journal
| Journal | Data powered by SciSpaceIEEE Transactions on Network and Service Management |
|---|---|
| Publisher | Data powered by SciSpaceInstitute of Electrical and Electronics Engineers Inc. |
| ISSN | 19324537 |
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