@inproceedings{9c434b62afe34d3390911128c89080f2,
title = "Poster: Quality of experience prediction of HTTP adaptive streaming traffic in LTE system",
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.",
keywords = "HAS, LTE, QoE, video rate",
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",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 9th International Conference on Communications and Networking in China, CHINACOM 2014 ; Conference date: 14-08-2014 Through 16-08-2014",
year = "2015",
month = mar,
day = "3",
doi = "10.1109/CHINACOM.2014.7054391",
language = "English",
series = "Proceedings of the 2014 9th International Conference on Communications and Networking in China, CHINACOM 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "674--675",
booktitle = "Proceedings of the 2014 9th International Conference on Communications and Networking in China, CHINACOM 2014",
address = "United States",
}