## 3 Results
### DC in Multi-User Scenarios  
Figure 8 illustrates the relationship between DC and the number of UDs for four internet applications. The results show that the mean DC over six minutes increases in multi-user scenarios compared to single-user scenarios, with distinct trends observed for different applications:  
* 4K Video Streaming: The mean DC increases progressively as the number of UDs grows, ranging from 4.3% to 12.9%. Unlike other applications, the IQR significantly increases, indicating a more dispersed distribution of DC values. This is attributed to the higher frequency of buffering behaviors as more users are added, leading to more frequent bursts of data transmission. This trend is confirmed by Figure 9, which \begin{table}
\begin{tabular}{l l l l l l l} \hline \hline
**Applicaiton** & **RC** & **Mean [\%]** & **Median [\%]** & \(\mathbf{P}_{95}\) [\%] & **Max [\%]** & **SD [\%]** \\ \hline YouTube 4K video & poor & 18.99 & 0.83 & 90.51 & 92.28 & 33.30 \\ YouTube 1080p video & poor & 3.88 & 0.66 & 37.20 & 71.64 & 11.58 \\ WhatsApp voice call & poor & 4.59 & 4.90 & 5.67 & 7.45 & 0.94 \\ WhatsApp video call & poor & 8.80 & 8.65 & 10.63 & 13.12 & 1.06 \\ FTP download & poor & 88.59 & 90.50 & 92.10 & 93.12 & 8.41 \\ FTP upload & poor & 8.03 & 8.03 & 9.12 & 13.65 & 0.83 \\ Online game & poor & 5.75 & 5.57 & 8.72 & 11.62 & 1.43 \\ Twitch stream & poor & 6.02 & 5.96 & 7.17 & 7.91 & 0.64 \\ Spotify audio & poor & 11.47 & 11.00 & 16.70 & 87.54 & 7.50 \\ web browsing & poor & 4.94 & 0.63 & 27.65 & 87.38 & 12.92 \\ YouTube 4K video & good & 3.10 & 0.66 & 23.39 & 30.37 & 6.78 \\ YouTube 1080p video & good & 1.05 & 0.62 & 4.31 & 9.15 & 1.45 \\ WhatsApp voice call & good & 3.77 & 3.74 & 4.16 & 5.48 & 0.32 \\ WhatsApp video call & good & 3.76 & 3.74 & 4.22 & 5.55 & 0.32 \\ FTP download & good & 43.09 & 45.66 & 53.59 & 57.34 & 9.13 \\ FTP upload & good & 21.19 & 21.41 & 25.38 & 26.56 & 3.02 \\ Online game & good & 1.63 & 1.59 & 2.00 & 3.11 & 0.23 \\ Twitch stream & good & 2.96 & 2.93 & 3.55 & 4.26 & 0.37 \\ Spotify audio & good & 0.72 & 0.60 & 1.36 & 7.23 & 0.61 \\ web browsing & good & 1.17 & 0.71 & 3.84 & 6.85 & 1.14 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Measured mean, median, 95 th percentile (P\({}_{95}\)), maximum (Max) duty cycle, and standard deviation (SD) for different activities under radio conditions (RC) of poor and good. Figure 7: The comparison of Wi-Fi 6 DCs for different Internet applications under good and poor radio conditions (DC mean values are marked as green triangles). shows an increasing number of peaks in the DC versus time-series curve for video streaming as the number of users grows;
* FTP File Downloading: The mean DC stabilizes at approximately 85% after the first UD (57%) and remains consistent as additional UDs connect. The IQR remains minimal, indicating a highly stable and concentrated distribution;
* Web Browsing: The mean DC stays at around 7% once the number of UDs increases to two. While the IQR slightly increases, its variation is smaller compared to 4K video streaming. This is because web browsing generates lower total traffic demands, leading to less pronounced increases in traffic variability even as UDs are added;
* Video Calling: The mean DC increases almost linearly with the number of UDs, from 6.4% to 17.5% as the number of UDs grows from one to four. The IQR remains low, reflecting the consistent and stable uplink/downlink traffic required to meet the high QoS demands of video call. Figure 8: DC as a function of the number of UDs for four different Wi-Fi 6 network applications, including 4K video streaming, FTP downloads, web browsing, and video calls (DC mean values are marked as green triangles). Figure 9: DC variation over time for 4K video streaming in single-user and four UDs scenarios. Figure 10 compares DC distributions when four UDs are using different applications simultaneously versus the same application.