# Research on Location Selection Model of 5G Micro Base Station Based on Smart Street Lighting System
## 5 Simulation and Analysis
### Comparative Analysis  
A comparative analysis was performed to further verify the robustness of the location selection model and the impact of coverage constraints on the location selection results to meet the needs of base station coverage in different areas. On the premise of the coverage radius \(r=150\) m, location selection of three functional areas was solved based on the constraint conditions that coverage requirement is 90%, 95%, and 99%, respectively. The results are shown in Tables 4-6. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Index** & **Commercial Area** & **Residential Area** & **Industrial Area** \\ \hline Difficulty coefficient \(\mathcal{O}\) & 0.5912 & 0.6833 & 0.8103 \\ Coupling pole ratio & 20.50\% & 24.74\% & 13.47\% \\ Coupling pole uniformity & 96.91\% & 93.45\% & 99.28\% \\ Combined ratio \(\alpha_{\text{h}}\) & 100\% & 100\% & 100\% \\ Coupling ratio  
To meet the basic coverage requirement, the number of 5G micro base stations constructed increases with the increase in coverage. Except for commercial areas with complete infrastructure, the combined ratio of residential and industrial areas decreased with the increase in coverage rate. It indicates that with the increase in the coverage rate, the number of base stations requiring a single independent pole increased, which increases the cost of base station construction. The commercial area has complete facilities and a high density of light poles, and the location selection results can achieve a high degree of subsystem coordination, greater than 89%. Therefore, the construction of the 5G micro base stations can prioritize high coverage requirements (99%). Under the premise of operating a 5G network demand, the cooperative effect between devices can be fully utilized to improve service efficiency and cost savings. The density of light poles and the degree of infrastructure construction in residential areas are slightly lower than in commercial areas. When the basic coverage requirement reaches 99%, the combined ratio is reduced from 100% to 94.44%, requiring a single independent pole to increase the cost of 5G micro base stations. In addition, the coupling ratio (88.24%) and the degree of subsystem coordination (88.19%) decreased, and the intelligent linkage between devices was not fully realized. In order to reduce the construction and operation as well as maintenance costs of 5G micro base stations, full play is given to the synergistic effect between subsystems and beautify the city image; the location selection result is optimal when the coverage requirement is 95%. On the premise of no single \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Index**} & \multicolumn{3}{c}{**Coverage Requirement**} \\ \cline{2-4}  & \(\gamma\) = 90\% & \(\gamma\) = 95\% & \(\gamma\) = 99\% \\ \hline Combined ratio \(\alpha_{\text{h}}\) & 100\% & 83.33\% & 75.00\% \\ Coupling ratio \(\alpha_{m}\) & 62.50\% & 53.33\% & 46.67\% \\ Unity ratio \(\alpha_{t}\) & 74.39\% & 75.37\% & 76.38\% \\ System coordination \(F^{{}^{\prime}}\) & 82.00\% & 70.47\% & 63.71\% \\ Select number & 16 & 18 & 20 \\ Coverage rate & **94.4\%** & **95.34\%** & **99.85\%** \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Location selection results of the industrial area under different coverage constraints. \begin{table}
\begin{tabular}{c c c c} \hline \hline \multirow{2}{*}{**Index**} & \multicolumn{3}{c}{**Coverage Requirement**} \\ \cline{2-4}  & \(\gamma\) = 90\% & \(\gamma\) = 95\% & \(\gamma\) = 99\% \\ \hline Combined ratio \(\alpha_{\text{h}}\) & 100\% & 100\% & 100\% \\ Coupling ratio \(\alpha_{m}\) & 100\% & 87.50\% & 81.82\% \\ Unity ratio \(\alpha_{t}\) & 70.34\% & 71.34\% & 74.27\% \\ System coordination \(F^{{}^{\prime}}\) & 97.51\% & 95.29\% & 89.54\% \\ Select number & 7 & 8 & 11 \\ Coverage rate & **94.88\%** & **95.68\%** & **99.47\%** \\ \hline \hline \end{tabular}
\end{table} 
Table 4: Location selection results of the commercial area under different coverage constraints.