# A Long Short-Term Memory Network-Based Radio Resource Management for 5G Network
## 4 Result and Discussion
### Performance Comparison between LSTM-RRM and QOC-RRM  
Here, the performance of the LSTM-RRM is analyzed with the QOC-RRM [21] in terms of different QOS parameters such as sum rate, threshold guaranteed rate, indoor guaranteed rate, and outdoor guaranteed rate. The aforementioned performances are analyzed by varying the number of users and distance in the 5G environment. This performance comparison for QOS parameters is described as follows:  
The analysis of USR for the LSTM-RRM for 3 Base Stations (BSs) and 20 BSs is shown in Figure 10 and Table 8. Here, the USR is analyzed by varying the users from 10 to 30. From the analysis, it is identified that the LSTM-RRM with the 3 BSs achieves higher USR than the LSTM-RRM with 20 BSs. For example, the LSTM-RRM with 3 BSs achieves USR in the range from 32 Mbps to 91 Mbps, whereas the LSTM-RRM with 20 BSs achieves USR in the range from 22 Mbps to 85 Mbps. The LSTM-RRM with 3 BSs provides significant improvement in USR due to less traffic. The comparison of USR between the LSTM-RRM with EPAS [30] is given in Table 9. Here, the EPAS [30] is taken for comparison because this EPAS [30] also used to allocate the power to the multiple users while broadcasting the data. From the comparison, it can be seen that the proposed LSTM-RRM achieves higher USR than the EPAS [30] due to its optimal power allocation according to the bandwidth, power, and data rate. \begin{table}
\begin{tabular}{c c c} \hline \hline \multirow{2}{*}{**Number of UE**} & \multicolumn{3}{c}{**Dual Connectivity (\%)**} \\ \cline{2-3}  & **DRRM**[20] & **LSTM-RRM** \\ \hline
5 & 70 & 76 \\
10 & 60 & 65 \\
15 & 63 & 69 \\
20 & 58 & 63 \\
25 & 58 & 62 \\
30 & 50 & 56 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: Analysis of dual connectivity for LSTM-RRM and DRRM. Figure 9: Comparison of dual connectivity. Figure 11 and Table 10 show the TSR comparison between LSTM-RRM with 3 BS and with 20 BS. Here, the comparison is made by varying the number of users from 10 to 30. From the analysis, it can be seen that the LSTM-RRM with 3 BS achieves higher TSR than the LSTM-RRM with 20 BS. For example, the TSR of the LSTM-RRM with 3 BS varies from 31 Mbps to 89 Mbps, whilst the TSR of the LSTM-RRM with 20 BS varies from 23 Mbps to 83 Mbps. Similar to the USR analysis, the LSTM-RRM with 3 BS achieves higher TSR due to less traffic. \begin{table}
\begin{tabular}{c c c} \hline \hline \multirow{2}{*}{**Number of Users**} & \multicolumn{3}{c}{**USR (Mbps)**} \\ \cline{2-3}  & **3 BS** & **20 BS** \\ \hline
10 & 91 & 85 \\
15 & 80 & 74 \\
20 & 65 & 65 \\
25 & 53 & 43 \\
30 & 32 & 22 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: Analysis of USR for LSTM-RRM. Figure 10: Comparison of USR. \begin{table}
\begin{tabular}{c c c} \hline \hline \multirow{2}{*}{**Number of Users**} & \multicolumn{3}{c}{**USR (Mbps)**} \\ \cline{2-3}  & **EPAS**[30] & **LSTM-RRM** \\ \hline
15 & \(8.3\times 10^{-6}\) & 77 \\
20 & \(8.75\times 10^{-6}\) & 65 \\
25 & \(9.5\times 10^{-6}\) & 48 \\
30 & \(10\times 10^{-6}\) & 27 \\ \hline \hline \end{tabular}
\end{table} 
Table 9: Comparison of USR for LSTM-RRM. The comparison of OSR between the LSTM-RRM and QOC-RRM [21] is shown in Figure 12 and Table 11. Here, the OSR is analyzed by varying the building distance from 400 to 1400. From the analysis, it can be seen that the LSTM-RRM achieves higher OSR than the QOC-RRM [21]. For example, the LSTM-RRM achieves OSR in the range from 25 Mbps to 35 Mbps, whereas the QOC-RRM [21] achieves OSR in the range from 15 Mbps to 25 Mbps. Specifically, the OSR of LSTM-RRM for building distance of 1400 m is improved up to 66.67% when compared to the QOC-RRM [21]. The OSR of LSTM-RRM is increased in the 5G network because of an LSTM-based resource allocation to the required users. Moreover, the interferences and errors are also avoided in the LSTM-RRM by using guard level insertion and frequency interleaving in the 5G network. Figure 13 and Table 12 show the guaranteed capacity comparison between LSTM-RRM with 4 BS and with 15 BS.