Figure 5: Traffic layering model Video traffic generation The video traffic from AP to STA is generated as follows. Step 1: At application layer, generate video frame size (bytes) according to Weibull distribution with the following PDF. Depending on the video bit rate, the parameters to use are specified in Table 5. Table 5: Lambda and k parameter for video bit rate lambda k Video bit rate 54210 0.8099 15.6 Mpbs 34750 0.8099 10Mbps 8Mbps 27800 0.8099 0.8099 6Mbps 4Mbps 13900 0.8099 2Mbps 6950 0.8099 AT TCP set TCP segment as 1500 bytes and fragment video packet into TCP segments. Step 2: Add network latency to TCP/IP packets when these segments arrive at AP for transmission. The network Step 3: latency is generated according to Gamma distribution whose PDF is shown below Where k=0.2463 theta=55.928 The mean of the latency with the above parameters is 14.834ms. To simulate longer or shorter network latency, scale theta linearly since mean of Gamma distribution is K*theta
Figure 5: Traffic layering model Video traffic generation The video traffic from AP to STA is generated as follows. Step 1: At application layer, generate video frame size (bytes) according to Weibull distribution with the following PDF. Depending on the video bit rate, the parameters to use are specified in Table 5. Table 5: Lambda and k parameter for video bit rate Video bit rate lambda k 15.6 Mpbs 54210 0.8099 10Mbps 34750 0.8099 8Mbps 27800 0.8099 6Mbps 0.8099 4Mbps 13900 0.8099 2Mbps 6950 0.8099 Step 2: AT TCP set TCP segment as 1500 bytes and fragment video packet into TCP segments. Step 3: Add network latency to TCP/IP packets when these segments arrive at AP for transmission. The network latency is generated according to Gamma distribution whose PDF is shown below Where k=0.2463 theta=55.928 The mean of the latency with the above parameters is 14.834ms. To simulate longer or shorter network latency, scale theta linearly since mean of Gamma distribution is K*theta
11-14-0571-04-00ax-evaluation-methodology.docx