Research Article
Quality of Experience Prediction of HTTP Adaptive Streaming Traffic in LTE System
@INPROCEEDINGS{10.4108/icst.chinacom.2014.256272, author={Fei Wang and Liang Chen and Th\^{e}og\'{e}ne Habineza and Xiaolin Deng and Zesong Fei and Yuan Zhou and Dan Li}, title={Quality of Experience Prediction of HTTP Adaptive Streaming Traffic in LTE System}, proceedings={9th International Conference on Communications and Networking in China}, publisher={IEEE}, proceedings_a={CHINACOM}, year={2015}, month={1}, keywords={has qoe video rate lte}, doi={10.4108/icst.chinacom.2014.256272} }- Fei Wang
Liang Chen
Théogène Habineza
Xiaolin Deng
Zesong Fei
Yuan Zhou
Dan Li
Year: 2015
Quality of Experience Prediction of HTTP Adaptive Streaming Traffic in LTE System
CHINACOM
IEEE
DOI: 10.4108/icst.chinacom.2014.256272
Abstract
With mobile video data traffic increasing, enhancing video quality of experience (QoE) has become an important issue. HTTP Adaptive Streaming (HAS) is a solution to give the user better experience by providing different video rates in changeable bandwidth. To infer the HAS QoE in LTE network, HAS engine we designed can produce video rates reflecting the viewer’s subjective feeling adequately. Using the subjective score and the experimental parameters from HAS QoE evaluation system we planted, we predict the HAS QoE with evolved-PSNR (ePSNR) and predicted-MOS (pMOS) accurately in LTE network. Furthermore, we optimize the video rate with a better correlation.
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