Quality-of-experience assessment and its application to video services in LTE networks
Article
Article Title | Quality-of-experience assessment and its application to video services in LTE networks |
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ERA Journal ID | 4467 |
Article Category | Article |
Authors | Zheng, Kan (Author), Zhang, Xiaoli (Author), Zheng, Qiang (Author), Xiang, Wei (Author) and Hanzo, Lajos (Author) |
Journal Title | IEEE Wireless Communications |
IEEE Wireless Communications Magazine | |
Journal Citation | 22 (1), pp. 70-78 |
Number of Pages | 9 |
Year | 2015 |
Place of Publication | Piscataway, NJ. United States |
ISSN | 1070-9916 |
1536-1284 | |
1558-0687 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/MWC.2015.7054721 |
Web Address (URL) | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7054721Zheng_etal_iwc_v22n1_PV.pdf |
Abstract | Reliable and repeatable video quality assessment is essential for performance analysis of wireless multimedia applications in the third generation (3G) Long Term Evolution (LTE) network. In this article we report on a database containing subjective assessment scores and the corresponding Quality-of-Service parameters of 70 video test sequences encoded with H.264, which are corrupted when transmitted over a wireless 3G LTE network simulator. Then, a new assessment method based on neural networks (NN) is proposed, whose weights are determined through training. The resulting pseudo-subjective assessment scores are then compared to the true MOS results in our database. Naturally, the accuracy of the NN-based prediction tool should be tested 'outside' of the set used for NN weight training. However, there are persistent residual errors between the predicted and subjectively evaluated MOS, which can be further reduced by particle swarm optimization, applied as post-processing of the NN weights to improve its accuracy. The proposed assessment method has potential applications, including Quality-of-Experience-aware network optimization for LTE network operators. |
Keywords | long term evolution; LTE; particle swarm optimization; PSO; quality control; quality of service |
ANZSRC Field of Research 2020 | 460399. Computer vision and multimedia computation not elsewhere classified |
400904. Electronic device and system performance evaluation, testing and simulation | |
350715. Quality management | |
Public Notes | © 2015 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. |
Byline Affiliations | Beijing University of Posts and Telecommunications, China |
School of Mechanical and Electrical Engineering | |
University of Southampton, United Kingdom | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2y69/quality-of-experience-assessment-and-its-application-to-video-services-in-lte-networks
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