@inproceedings{9e63bebfc725426bab8d756ca0cecb57,
title = "Quality Prediction of Mobile Video Service Based on Radio Access Network Log Data",
abstract = "Quality of Experience (QoE) of mobile video is being raised as the most important parameter for network operators due to the rapid increase in mobile video traffic. But in the mobile network, the network-level Quality of Service (QoS) is provided and this network-level QoS does not exactly represent the user-level QoE. In this paper, we propose a system with two modules for forecasting mobile video quality based on network Radio Frequency (RF) metrics that are related to QoS. We develop a Network Quality Prediction (NQP) module which can analyze patterns of RF metrics and predict the next RF metrics patterns. In addition, we design a Video Quality Scoring (VQS) module which can predict Video Mean Opinion Score (VMOS) by mapping predicted RF metrics to VMOS. The proposed system, NQP and VQS, shows a meaningful prediction performance of VMOS.",
keywords = "Mobile video service, QoE, QoS, Quality analysis, Quality prediction, Radio Access Network",
author = "Seungbo Yoo and Dongmin Kim and Kim, \{Dongsoo S.\} and Hyunseung Choo",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015 ; Conference date: 23-11-2015 Through 27-11-2015",
year = "2016",
month = feb,
day = "5",
doi = "10.1109/SITIS.2015.112",
language = "English",
series = "Proceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "599--605",
editor = "Kokou Yetongnon and Albert Dipanda and Richard Chbeir",
booktitle = "Proceedings - 11th International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2015",
}