Research on relationship between QoE and QoS based on BP Neural Network

In this paper, a method to connect QoE directly to QoS according to the corresponding level of QoE under different network circumstance is proposed. The algorithm used to analysis a number of data is the BP (back-propagation) neural network toolbox in Matlab software. With the help of video quality evaluation system and network emulator, all kinds of parameters of different network circumstance and the targets based on our dividing standard were used to train the neural network to get the right weights in BP neural network. Based on the trained BP neural network, the input network parameters can be adjusted to get the ideal output to satisfy the users´ need.