## 3 Materials and Methods
### Discussion of Results
The signal strength at all sites is reduced irrespective of the existing signals that may interfere with the yet-to-be-deployed signals. The maximum signal strength for the Gaussian noise was reduced from \(-69\) dBm to \(-75\) dBm after denoising. In Figure 42, on-site G vertical polarization at 6 GHz, which has a \(-69.5\) dBm noise level and existing signals of strength \(-67\) dBm with possible interference with potential signals at F2, F3, F5, and F6, was reduced to \(-80\) dBm at the F1 frequency and between 6.3 GHz and 6.4 GHz. This is lesser than the white noise before denoising and about the level of the white noise after denoising. The strength was lower than \(-80\) dBm at other frequencies and as low as \(-200\) dBm between the F5 and F6 frequencies. This was similar in all of the bands and polarizations. The sites with potential for interference had the existing signals aggregated and the overall signal strength minimized. The sites without existing signals were merely reproduced but with minimized signal strength. Further to this, we compared the results for the frequency scan signals before and after denoising, as presented in Figures 47-54. These include the histogram and PDF of the actual signals collected at the sites. Here, the denoised signals are given in Figures 48, 50, 52 and 54. Specifically, Figures 48 and 54 tend to resemble a normal distribution curve far more than Figures 50 and 52, which do not follow a normal distribution curve at all. Compared to the signal waveforms before denoising, the waveforms obtained after denoising appear to not follow the normal distribution curve. In addition, the descriptive statistics of the frequency scan measurements are presented. The statistical analysis showing the performances of the links before and after denoising at 6 GHz, 7 GHz, and 8 GHz for the horizontal and vertical polarization is summarized in Table 12. These include the mean, standard deviation, variance, interquartile range, Kurtosis, and skewness. The mean is the average of the data set. It can be seen from Table 12 that the mean values after denoising are lower than the mean values before denoising, except in site A. This shows that the noise level in each site was reduced when the algorithm was applied. The standard deviation measures how much a set of data is spread out around the mean/average. Additionally, it can be seen from Table 12 that the standard deviation values are lower after denoising. This is due to the aggregation of the existing signals by the algorithm, which tends to mix the existing signal with noise. Similarly, the variance measures the degree of variation around the mean/average. The interquartile range is a measure of where the bulk of the values lie. It can be seen that after denoising, the interquartile range values are lower than they were before denoising. This is also due to suppressing the noise level. Skewness is a measure of a lack of symmetry in distribution. The level of skewness after denoising is greater than the level of skewness before denoising. Both of the values of before and after denoising have positive values. This indicates that there are heavy tails. However, kurtosis values after denoising are far greater than 3, indicating that the tails are heavier than the normal distribution. This means that the data after denoising does not follow the normal distribution. It can be seen from the estimated normal distribution curve and the actual histogram information that the data do not follow the normal distribution curve, as shown in Figures 48, 50, 52 and 54. This implies that the error between the estimated curve and the actual data after denoising will be higher than before denoising. Therefore, the site data after denoising cannot be accurately estimated with a normal distribution curve. Additionally, it can be seen from the probability density axis of the graph that the values are far greater after denoising than before denoising. This is due to the aggregating of signals and noise in the sites.