No-Reference QoE Prediction Model for Video Streaming Service in 3G Networks

User experience becomes a most crucial factor for the application and promotion of a new technology. Traditional quality of service (QoS) can only measure the objective quality of services and networks, while the quality of experience (QoE), which has become a hot topic in recent years, can reflect subjective feelings more directly from users' perspective. In this paper, we investigate the QoE evaluation method of video streaming service in 3G networks, and propose a no-reference QoE prediction model of video streaming service based on the gradient boosting machine. Our proposed QoE prediction model considered comprehensive parameters from the network layer, the application layer, decoded videos and the user equipment. Simulation results show that the performance of our proposed QoE prediction model outperforms the G.1070 model, in terms of accurate predicted mean opinion score, small root mean squared error, and low time-consuming.