# Narrowband Internet-of-Things to Enhance the Vehicular Communications Performance
## 4 Conclusions  
A proposition of a wavelet framework for a V2V system has been studied under the co-existence with LTE infrastructure. Three main performance parameters have been studied to enhance the VANET work structure, namely latency, harmonics retrieval, and the PAPR problem.  
Therefore, studying the base station's latency issue and proposing a solution, different types of collisions and their causes were investigated. The VANET performance has been studied based on reducing the base station's latency. As a result, the full-duplex concept was chosen to reduce both interference of multi-users and the half-duplex miss reception. Therefore, the antenna deployment has been investigated concerning self-interference cancellation. Accordingly, a remarkably high spectrum efficiency is achieved. The harmonics retrieval issue has been studied; the windowed Discrete Fourier-Transform (W-DFT) is proposed accordingly to tackle the complexity issues. Consequently, the W-DFT is imposed on the proposed benchmark to overcome the main drawback of the leakage frequency. The V2V system-based multi-parallel processing quality has been studied based on the proposed method of W-DFT, which outperforms the work in the literature. Using the W-DFT, an extra 55% noise reduction has been attained. Accordingly, the noisy signals have been modified significantly based on enhancing the side-lobes above the adaptive threshold. Thus, W-DFT is a promising technique that could replace the IFFT easily with guaranteed modifications not only in terms of the power management but  
Figure 10: The comparison results based on BER curves.  
also in the aliasing error. Therefore, it modifies the estimation methods in the multipath fading channels. As a result, it has been shown that significant performance improvement can be achieved with Daubechies wavelets in the V2V physical layer, where a 33% extra reduction has been attained from the CCDF point of view. This clearly supports the 5G and beyond technologies.  
The achieved result shows the powerfulness of the proposed in terms of throughput, latency, and power management. From the CCDF point of view, the use of harmonics wavelets outperforms the use of Daubechies with a percentage of 49% extra peak power reduction compared to the work in the literature. From the antenna's deployment point of view, using the self-interference cancellation shows an extra 23.5% peak-to-power ratio enhancement. The use of 16-APSK outperforms the use of the 64-QAM modulation technique. From the BER point of view, at an SNR of 6 dB, the BER is almost \(10^{-6}\). Accordingly, the communication link has been improved by a ratio of 31%.  
Conceptualization, Q.H. and O.D.; methodology, O.D.; software, Q.H.; validation, O.D., M.B. and A.D.; formal analysis, O.D.; investigation, O.D. and Q.H.; resources, A.D.; data curation, A.D.; writing--original draft preparation, A.D.; writing--review and editing, O.D.; All authors have read and agreed to the published version of the manuscript.  
This research received no external funding.  
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