Video traffic modeling over wireless networks

This paper studies the statistical model of MPEG video over wireless networks. A real-time MPEG video traffic workload was generated and transmitted over a wireless network. The model parameters of I, B and P frames were measured before and after wireless transmission. The results we got were very interesting. Intuitively, larger frames are more sensitive to network errors. The parameters associated with the statistical model should change after transmission. However, the results of the experiments showed that the statistical models of all I, B and P frames remain almost unchanged after transmission. We repeated the experiment under different wireless link layer error rates and got the same results. To simulate errors, we designed a controllable wireless link layer error model by modifying the WaveLAN device driver which is a Linux kernel module.