Welcome to Journal of Beijing Institute of Technology
Advance Search
Volume 25Issue 4
.
Turn off MathJax
Article Contents
Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2016> 25(4): 553-561
WANG Fei, CHEN Liang, DENG Xiao-lin, FEI Ze-song, HAN Guang-lin, WAN Lei. Evaluate mobile video quality with LTE radio access network parameters[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2016, 25(4): 553-561. doi: 10.15918/j.jbit1004-0579.201625.0415
Citation: WANG Fei, CHEN Liang, DENG Xiao-lin, FEI Ze-song, HAN Guang-lin, WAN Lei. Evaluate mobile video quality with LTE radio access network parameters[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2016, 25(4): 553-561.doi:10.15918/j.jbit1004-0579.201625.0415
shu

Evaluate mobile video quality with LTE radio access network parameters

doi:10.15918/j.jbit1004-0579.201625.0415
  • 1.

    School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

  • 2.

    Wireless Research Department, Huawei Technologies Co., Ltd, Beijing 100085, China

  • Received Date:2014-12-30
    Abstract
  • To evaluate the video quality, we tested sample videos delivered using HTTP adaptive streaming (HAS) in LTE network. In order to establish a correlation between radio access network (RAN) performance and quality of experience (QoE), we set up a testbed under different radio impairment conditions with three parameters: signal to interference and noise ratio (SINR), an amount of available network resource and a round trip latency. End users graded each video in a mobile equipment with their QoE Mearnwhile, we used a nonlinear model to simulate the comprehensive predicted mean opinion score (pMOS). Our results show that the nonlinear model can predict the enduser's feedback. The pearson correlation coefficient (PCC) of the model is larger than 0.9. This demonstrate that the output of the model has a high correlation with the end users' ratings and can reflect the QoE accurately. The method we developed will help mobile network operators evaluate the RAN performance of its QoE. It can also be used for HAS service to optimize LTE network and improve its QoE.
    • FullText(HTML)
  • loading
    • References (20)
  • [1]
    Cisco Systems Inc. Cisco visual networking index: global mobile data traffic forecast update, 2013-2018[R]. USA: Cisco, 2014:1-15.
    [2]
    Yao Liu, Dey S, Gillies D, et al. User experience modeling for DASH video[C]//20th International Packet Video Workshop (PV), San Jose, CA, USA, 2013.
    [3]
    Oyman O, Singh S. Quality of experience for HTTP adaptive streaming services [J]. IEEE Communications Magazine, 2012, 50(4): 20-27.
    [4]
    Mok R K P, Chan E W W, Chang R K C. Measuring the quality of experience of HTTP video streaming[C]//2011 IFIP/IEEE International Symposium on Integrated Network Management (IM), Dublin, Ireland, 2011.
    [5]
    De V J, De V D, Robinson D. Model for estimating QoE of video delivered using HTTP adaptive streaming[C]//2013 IFIP/IEEE International Symposium on Integrated Network Management (IM), Ghent, Belgium, 2013.
    [6]
    De V J, De V D, Robinson D C. QoE model for video delivered over an LTE network using HTTP adaptive streaming [J]. Bell Labs Technical Journal, 2014, 18(4): 45-62.
    [7]
    Apple Inc. HTTP live streaming overview[EB/OL].[2013-08-30]. http://developer.apple.com/library/ios/documentation/networkinginternet/conceptual/streamingmediaguide/StreamingMediaGuide.pdf.
    [8]
    Microsoft Corporation. IIS smooth streaming technical overview[EB/OL].[2013-08-30]. http://www.microsoft.com/en-us/download/details.aspx?id17678.
    [9]
    Adobe Systems Incorporated. Adobe HTTP Dynamic Streaming[EB/OL].[2013-08-30]. http://www.adobe.com/products/httpdynamicstreaming/.
    [10]
    OIPF Specification. HTTP adaptive streaming[R]. Switzerland: OIPF, 2011:7-15.
    [11]
    Edgeware. HTTP adaptive streaming using edgeware video appliances whitepaper[EB/OL].[2013-08-30].http://info.edgeware.tv/http-adaptive-streaming.
    [12]
    Ismail A, Bäulent S. Statistical evaluation of image quality measures [J]. Journal of Electronic Imaging, 2002, 11(4): 20-23.
    [13]
    Wang Z, Lu L, Bovik A C. Video quality assessment based on structural distortion measurement [J]. Signal Processing: Image Communication, 2004, 19(1): 121-132.
    [14]
    Pinson M H, Wolf S. A new standardized method for objectively measuring video quality [J]. IEEE Transactions on Broadcasting, 2004, 50(3): 312-322.
    [15]
    Deng X L, Chen L, Wang F. A method to predict the MOS for HTTP adaptive streaming[C]//2014 IEEE 80th Vehicular Technology Conference, Vancouver, Canada, 2014.
    [16]
    Khan A, Sun L, Jammeh E, et al. Quality of experience-driven adaptation scheme for video applications over wireless networks [J]. IET Communications, 2010, 4(11): 1337-1347.
    [17]
    Padhye J, Firoiu V, Towsley D F. Modeling TCP Reno performance: a simple model and its empirical validation [J]. IEEE/ACM Transactions on Networking, 2000, 8(2): 133-145.
    [18]
    Sintel. The durian open movie project[EB/OL].[2014-08-10]. http://www.sintel.org/.
    [19]
    Video LAN. Official page for VLC media player, the Open Source video framework[EB/OL].[2013-08-30]. http://www.videolan.org/vlc/index.html.
    [20]
    Rodgers J L, Nicewander W A. Thirteen ways to look at the correlation coefficient [J].The American Statistician, 1988, 42(1): 59-66.
    • Relative Articles
  • Supplements (0)
  • Cited By
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (642) PDF downloads(573) Cited by()
    Proportional views
    Related

    Address:5 Zhongguancun South Street, Haidian District, Beijing

    Tel:86-10-68914374

    Email:blgywb@bit.edu.cn

    Copy Right © Journal of Beijing Institute of Technology

    Supported by:Beijing Renhe Information Technology Co. Ltd

    /

      Return
      Return
        Baidu
        map