• DocumentCode
    49408
  • Title

    User feedback oriented quality of experience management framework

  • Author

    Zhang Jie ; Hwa-Jong Kim

  • Author_Institution
    Dept. of Comput. Eng., Kangwon Nat. Univ., Gangneung, South Korea
  • Volume
    10
  • Issue
    1
  • fYear
    2013
  • fDate
    Jan. 2013
  • Firstpage
    72
  • Lastpage
    80
  • Abstract
    Recently, Quality of Experience (QoE) has been introduced as a subjective measure of a user´s experience of communication services. QoE was expected to take the place of traditional Quality of Service (QoS) measure in that QoE may express a direct and accurate user experience. In this paper, we propose a QoE management scheme which is based on a user´s simple feedback. We explain the proposed QoE management steps and the dominant reason extraction algorithm to determine the quality-falling instance. We also present a QoE prediction method that will provide an optimal quality management scheme in communication services. Experiments on multimedia streaming service prove the efficiency of the dominant factor extraction algorithm, and the experiment using the QoE prediction method present a very high accuracy. The QoE management scheme proposed in this paper can be generally adapted to any communication services, to increase the efficiency and effectiveness of quality management systems.
  • Keywords
    media streaming; quality of experience; quality of service; telecommunication network management; QoS; communication services; dominant factor extraction algorithm; dominant reason extraction algorithm; multimedia streaming service; optimal quality management scheme; quality of experience prediction method; quality of service; quality-falling instance; subjective measure; user experience; user feedback oriented QoE management framework; Algorithm design and analysis; Estimation; Multimedia communication; Network monitoring; Prediction algorithms; Quality management; Quality of service; Statistical analysis; Streaming media; Telecommunication traffic; QoE; QoS; network monitoring; statistical estimation; traffic analysis;
  • fLanguage
    English
  • Journal_Title
    Communications, China
  • Publisher
    ieee
  • ISSN
    1673-5447
  • Type

    jour

  • DOI
    10.1109/CC.2013.6457531
  • Filename
    6457531