A Novel QoE Assessment And Analysis Scheme For Video On Demend In Wireless Network

With the rapidly development of intelligent terminals and wireless network, multimedia services for mobile device such as Video on Demand (VoD, Video on Demand) have become a focus. The management of VoD quality is the key point to improve the quality of VoD service. As the QoS-based service quality assessment is technique-centered and its metrics are all network metrics, it has difficulties in satisfying the customers’real needs. Therefore, a novel user-centered scheme is needed. QoE (Quality of Experience) which is the overall acceptance of the applications from the users’ perspective can meet users’ requirements. The assessment, analysis and optimization of QoE make the operator’s action more reasonable.Problems in QoE assessment are the lack of considering of the terminal’s impact as well as a large quantity of information which represents the user’s preference concentrated on the terminal has not been fully utilized.In this paper, we proposed a comprehensive metrics set including the original service quality factor, the network factor and the terminal factor, as well as a novel QoE assessment scheme based on the metric set we build. This scheme includes function describing the relationship between QoE and the influence factors. The validation of the QoE assessment scheme is carried out through a questionnaire survey and ns2 simulation. The questionnaire survey follows the ITU standard. We utilize this function to assess the QoE of VoD. The simulation results prove that all the three type factors have impact on QoE and they have relationship with each other. Basing on the assessment scheme we analyze the QoE optimization for VoD. Additionally, our scheme performs well in real-time QoE assessing and could be extended to other multimedia services.