## 4 Results and Discussion
### Received Power Estimation  
Received power in urban micro, urban macro, and rural macro environments are estimated using Equation (5). Figures 10-13 measure and compare the received power of UMi scenario at 28 GHz, 38 GHz, 60 GHz, and 75 GHz, respectively. Compared to other models, the 5 GCM-OS model produces the highest signal power in LOS scenario, which will be observed from Figures 10-13. The line-of-sight mmMAGIC curve closely resembles the 5 GCM-OS model. In NLOS propagation, the received power of 5 GCM-OS is slightly lower than the received power of 3 GPP-SC if the distance is less than 150 m, it is equal at a distance of 150 m, and if the distance is greater than 150 m, the received power of 3 GPP-SC is lower than the received power of 5 GCM-OS model. Therefore, 5 GCM-OS creates the highest received power after 150 m while 3 GPP-SC generates the highest received up to that point. The lowest received power is produced by the mmMAGIC-SC model in the NLOS scenario. \begin{table}
\begin{tabular}{p{56.9 pt} p{85.4 pt} p{85.4 pt} p{85.4 pt} p{85.4 pt}} \hline \hline
**Parameter** & **5 GCM Model** & **3 GPP Model** & **METIS Model** & **mmMAGIC Model** \\ \hline \multirow{4}{*}{Path Loss in UMi} & This model provides the least path loss in LOS & This model provides the highest path loss in LOS & This model provides highest path loss in LOS scenario & This model provides highest path loss in NLOS Scenario \\ \cline{2-5}  & This model provides the least path loss in LOS & This model provides the path loss in LOS & This model provides least path loss in NLOS scenario & This model provides highest path loss in NLOS Scenario \\ \hline \multirow{4}{*}{Path Loss in RMa} & Only the 3 GPP model is used to estimate the path loss in rural macro cellular networks & This model is specifically specifically designed to estimate spectral efficiency, energy efficiency, improved of mmWave frequency bands. & This model is specifically designed to estimate spectral efficiency, improved coverage, and path loss in 5G networks & This model is specifically designed for 5G networks and it addresses challenges and opportunities of mmWave frequency bands. \\ \cline{2-5}  & This model accurately estimates the path loss in urban micro and macro environments & This model estimates the path loss of propagation environments and scenarios. & This model accurately estimates the path loss in urban micro and macro environments & This model accurately estimates the path loss in urban micro and indoor environments & This model accurately estimates the path loss in urban micro and indoor environments \\ \hline \multirow{4}{*}{Disadvantages} & It does not support non-mmWave frequency bands & This model does not consider all the real-world problems while estimating the path loss & operating frequency range is very small and above 6 GHz it does not support & It does not support non-mmWave frequency bands \\ \cline{1-1}  & This model is not well-suited for rural environments & This model lacks accuracy in predicting path loss within real-world environments & This model is not well-suited for urban macro environments & This model is not well-suited for urban macro environments & This model is not well-suited for urban macro rural macro environments & This model is not well-suited for urban macro rural macro environments & This model is not well-suited for urban macro rural macro environments \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Summary of Path loss models. It can be seen from Figures 10-13 that each model's received power gradually reduces with distance and frequency. In comparison to the other models, the 5 GCM-OS model generates the highest power in LOS and NLOS scenarios. The minimum power is produced by the 3 GPP-SC and mmMAGIC-SC models, respectively. Table 7 displays the RP values for each model at various distances and frequencies. Figures 14-17 measure and compare the received power of an urban macro environment at 28 GHz, 38 GHz, 60 GHz, and 75 GHz, respectively.