Robust QoE-Driven DASH Over OFDMA Networks

In this paper, the problem of effective and robust delivery of Dynamic Adaptive Streaming over HTTP (DASH) videos over an orthogonal frequency-division multiplexing access (OFDMA) network is studied. Motivated by a measurement study, we propose to explore the request interval and robust rate predict...

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Bibliographic Details
Published in:IEEE transactions on multimedia 2020-02, Vol.22 (2), p.474-486
Main Authors: Xiao, Kefan, Mao, Shiwen, Tugnait, Jitendra K.
Format: Article
Language:English
Subjects:
Algorithms
Computer simulation
Dynamic Adaptive Streaming over HTTP (DASH)
OFDM
Optimization
Orthogonal Frequency Division Multiple Access (OFDMA)
Orthogonal Frequency Division Multiplexing
Predictive control
Quality of experience
Quality of Experience (QoE)
rate adaptation
Resource allocation
Resource management
Robustness
Servers
Stochastic models
Streaming media
Videos
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Summary:In this paper, the problem of effective and robust delivery of Dynamic Adaptive Streaming over HTTP (DASH) videos over an orthogonal frequency-division multiplexing access (OFDMA) network is studied. Motivated by a measurement study, we propose to explore the request interval and robust rate prediction for DASH over OFDMA. We first formulate an offline cross-layer optimization problem based on a novel quality of experience (QoE) model. Then the online reformulation is derived and proved to be asymptotically optimal. After analyzing the structure of the online problem, we propose a decomposition approach to obtain a user equipment (UE) rate adaptation problem and a BS resource allocation problem. We introduce stochastic model predictive control (SMPC) to achieve high robustness on video rate adaption and consider the request interval for more efficient resource allocation. Extensive simulations show that the proposed scheme can achieve a better QoE performance compared with other variations and a benchmark algorithm, which is mainly due to its lower rebuffering ratio and more stable bitrate choices.
ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2019.2929929