QoE-aware video streaming for SVC over multiuser MIMO-OFDM systems

QoE-aware video streaming for SVC over multiuser MIMO-OFDM systems
Title:
QoE-aware video streaming for SVC over multiuser MIMO-OFDM systems
Other Titles:
Journal of Visual Communication and Image Representation (JVCIR)
Keywords:
Publication Date:
04 November 2014
Citation:
Maodong Li, Zhenzhong Chen, Peng Hui Tan, Sumei Sun, Yap-Peng Tan, QoE-aware video streaming for SVC over multiuser MIMO–OFDM systems, Journal of Visual Communication and Image Representation, Volume 26, January 2015, Pages 24-36, ISSN 1047-3203, http://dx.doi.org/10.1016/j.jvcir.2014.10.011.
Abstract:
We propose a QoE-aware video streaming solution to maximize multiuser QoE for Scalable Video Coding (SVC) streaming over multiuser (MU) Multiple-Input Multiple-Output (MIMO)–Orthogonal Frequency Division Multiplexing (OFDM) systems. We achieve it by integrating novel QoE-aware video adaptation (QoEVA) and QoE-aware resource allocation (QoERA) schemes. We first study QoEVA of SVC via a subjective video quality assessment database and derive QoE-optimized scalability adaptation tracks. A rate-QoE model is then constructed to approximate the track and is employed to design QoERA. By proving the NP-hardness of the QoERA problem, we propose an adaptive solution where resource block assignment, power allocation and modulation selection are jointly optimized to enhance multiuser QoE. Experimental results show that the proposed QoEVA significantly performs better than the conventional video adaptation schemes and the proposed QoERA achieves much better user experience when compared to state-of-the-art solutions. Our solution can be employed for both pre-coded and live video streaming.
License type:
PublisherCopyrights
Funding Info:
Description:
ISSN:
1047-3203
1095-9076
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