会议专题

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.

QoE QoS BP neural network

Haiqing Du Chang Guo Yixi Liu Yong Liu

School of Information and Communications Beijing University of Posts and Telecommunications

国际会议

2009 IEEE International Conference on Network Infrastructure and Digital Content(2009年IEEE网络基础设施与数字内容国际会议 IEEE IC-NIDC2009)

北京

英文

312-315

2009-11-06(万方平台首次上网日期,不代表论文的发表时间)