## 3 Methodology and Proposed Innovation
### PA Properties of QUAKE
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Applications** & **Low** & **Moderate** & **High** & **References** \\ \hline IP Telephony & ✓ & & & [53, 54] \\ Media and Entertainment Streaming & & & ✓ & [55, 60, 70] \\ Online Gaming & ✓ & & & [71] \\ General Data Transfer & & & ✓ & [73] \\ Emergency Communications & ✓ & & ✓ & [53, 74] \\ Immersive XR technology & & ✓ & & [75] \\ Telesurgery & & ✓ & & [64, 65, 66, 76] \\ Teleoperation of ACVs & & ✓ & & [64, 67, 68] \\ Command and Control of UAV Network & & ✓ & & [64, 67, 68] \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Bandwidth demand classification of examined applications. \begin{table}
\begin{tabular}{c c c c c c} \hline \hline
**Applications** & **Ideal** & **Acceptable** & **Challenging** & **Tiring** & **References** \\ \hline IP Telephony & \textless{}150 ms & 150–200 ms & 200–300 ms & \textgreater{}300 ms & [53, 54] \\ Media and & \textless{}20 ms & 20–50 ms & 50–150 ms & \textgreater{}150 ms & [70] \\ Entertainment Streaming & & \textless{}50 ms & 50–150 ms & \textgreater{}200 ms & [71] \\ Online Gaming & \textless{}50 ms & 50–150 ms & 150–180 ms & \textgreater{}200 ms & [71] \\ General Data Transfer & \textless{}50 ms & 50–100 ms & 100–200 ms & \textgreater{}200 ms & [72] \\ Emergency Communications & \textless{}15 ms & 15–18 ms & - & - & [73] \\ Immersive XR technology & \textless{}10 ms & - & - & - & [62, 74] \\ Telesurgery & \textless{}200 ms & 200–300 ms & 400–500 ms & \textgreater{}600 ms & [75] \\ Teleoperation of ACVs & \textless{}170 ms & 170–300 ms & 300–500 ms & \textgreater{}700 ms & [64, 65, 66, 76] \\ Command and Control & \textless{}10 ms & 10–40 ms & 40–140 ms & \textgreater{}140 ms & [64, 67, 68, 77] \\ of UAV Network & & & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Round-Trip Latency thresholds of examined applications. \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**Applications** & **Low** & **Moderate** & **High** & **References** \\ \hline IP Telephony & ✓ & & & [53, 54] \\ Media and Entertainment Streaming & & & ✓ & [71] \\ General Data Transfer & & & ✓ & [73] \\ Emergency Communications & ✓ & & ✓ & [53, 74] \\ Teleesurgery & & ✓ & & [75] \\ Teleoperation of ACVs & & ✓ & & [64, 65, 76] \\ Command and Control of UAV Network & & ✓ & & [64, 67, 68] \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Computational demand classification of examined applications. It is established that critical applications, like telesurgery and XR-based industrial activities, rely heavily on user-specific parameterization and customization for proper functionality. Thus, each application instance, regardless of whether it belongs to the same application class, may exhibit multiple and different resource-oriented requirements. This functionality is integrated with the QUAKE framework. As the notation of Equation (19) reveals, each \(w_{i}\), \(i=\{1,2,3,4\}\), weight fluctuates the influence of its corresponding primary metric upon QUAKE. Specifically, Table 6 documents 24 different combinations of varying values of the \(w_{1},w_{2},w_{3},w_{4}\) weights, which refer to the degree of effect each weight would have on the values of the composite metric. A color gradient ranging from green to red is used, to show, respectively, how influential or not a weighted factor will be on QUAKE. The Wii combinations in Table 6 are classified based on the grading scheme depicted in Table 7.  
The Wii influencing combinations and classification groups are products of this specific research and its corresponding experimental trials. Depending on the considered use cases, the values of \(w_{i}\) and the classification thresholds may vary accordingly. This feature of Wii grants high levels of flexibility and adaptability to the integrated solution. Furthermore, there is an inherent independence from scaling factors that would hinder the deployment of the proposed methodology.