# Narrowband Internet-of-Things to Enhance the Vehicular Communications Performance
## 3 Simulation Results Performance
\begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Signals Number**} & \multirow{2}{*}{
\begin{tabular}{c} **Sum of the** \\ **Absolute** \\ **Difference** \\ **(Cs\({}_{\text{SaD}}\))** \\ \end{tabular} } & \multicolumn{2}{c}{**Daubechies**} & \multicolumn{1}{c}{**Harmonics**} \\ \cline{3-5}  & & **The** & **The** & **The** \\
10 & 217.17 & 5 & db4 & 2 \\
12 & 210. 5 & 7 & db13 & 4 \\
30 & 201.92 & 8 & db10 & 3 \\
40 & 215.184 & 4 & db11 & 1 \\
251 & 180.13 & 6 & db23 & 3 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: CSOAD evaluation criterion performance comparison. It is drawn from the results an enhancement of 33.3% for the MSE curves; it reaches the 6 dB interference to noise ratio at an MSE of \(~{}10^{-3}\). This achievement is in addition to a 60% enhancement over the SISO scenario. Furthermore, the achieved results outperform the work in the literature [25]. Accordingly, multiparallel processing will be considered a promising technique, which will be adopted in the recent V2V technologies especially under the channel's challenges for the huge number of moving vehicles. From the CCDF point of view, Figure 9 depicts the comparison results of the probability that exceeds a certain threshold. In these curves, a comparison has been made from two different points of view; a number of antennas and modulation techniques. Again, from the depicted results, the use of harmonics wavelets outperforms the use of Daubechies with a percentage of 49% extra peak power reduction compared to the work in [25]. From the antenna's deployment point of view, using the self-interference cancellation shows an extra 23.5% peak-to-power ratio enhancement. Using the 16-APSK shows a promising result that is aligned with the attained one in [26], where it shows that the use of 16-APSK outperforms the use of the 64-QAM modulation technique. As a result, it has been shown that significant performance improvement can be achieved with Daubechies wavelets in the V2V physical layer. This clearly supports the 5G and beyond technologies. Figure 8: The comparison results based on MSE factor curves. Figure 9: The comparison results based on CCDF curves. Figure 10 depicts the results of the performance comparison from the BER point of view. From the results, the proposed work elucidates another enhancement compared to the work in [25]. At an SNR of 6 dB, the BER is almost \(~{}10^{-6}\). Accordingly, the communication link has been improved by a ratio of 31% compared to the literature work [25; 26]. As seen in Figure 10, the conventional work result represents the demodulation process without the need for the ISI cancellation stage and no multiparallel processing. The other two curves were attained after imposing the proposed benchmark based on multiparallel processing with two approaches; namely the HW and the Daubechies wavelets. It is clear from the depicted results that the multiparallel processing stage can provide a significant improvement in the BER. Comparing these curves, it can be determined that the modified work based on the proposed reduces the time of processing. Consequently, the associated complexity of the modified physical layer is reduced. The achieved result in the previous figures shows the powerfulness of the proposed work in terms of throughput, latency, and power management.