## 6 Comparative Interference Analysis  
This section presents a comparative analysis of the impact of varying MVDS interference levels on the satellite communication link. To evaluate the system's resilience, we \begin{table}
\begin{tabular}{c c c c c} \hline \hline
**PMVDS (dBW)** & \(\left[\frac{\mathrm{C}}{\mathrm{N}_{0}}\right]_{\mathrm{total}}\) & \(\left[\frac{\mathrm{C}}{\mathrm{N}}\right]\) & \(\left[\frac{\mathrm{F}_{\mathrm{h}}}{\mathrm{N}_{0}}\right]\) & **Signal Quality** \\ \hline \(-10\) & \(68.69\) & \(3.91\) & \(2.28\) & Good \\ \(-5\) & \(67.4794\) & \(2.70\) & \(1.069\) & Fair \\ \(0\) & \(62.47\) & \(-2.29\) & \(-3.93\) & Critical \\ \(5\) & \(57.4794\) & \(-7.29\) & \(-8.93\) & Bad \\ \(10\) & \(52.4794\) & \(-12.29\) & \(-13.9\) & Bad \\ \hline \hline \end{tabular}
\end{table} 
Table 6: MVDS side lobe effect using a real scenario for different power levels of MVDS. \begin{table}
\begin{tabular}{c c c c} \hline \hline
**Interference (dB-Hz)** & \(\left[\frac{\mathrm{C}}{\mathrm{ACI}}\right]\) & \(\left[\frac{\mathrm{C}}{\mathrm{IM}}\right]\) & \(\left[\frac{\mathrm{C}}{\mathrm{XP}}\right]\) & \(\left[\frac{\mathrm{C}}{\mathrm{ASI}}\right]\) \\ \hline Real scenario case & \(82.75\) & \(77.66\) & \(86.665\) & \(97.8\) \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Different interference types. simulated the performance in different potential MVDS interference scenarios, ranging from \(-10\) dBW to \(10\) dBW of MVDS transmitted power. These simulations were conducted across a bandwidth of \(1\) to \(7\) MHz, a typical range for MVDS communication channels. The results are visualized in Figures 4 and 5, illustrating the relationship between bandwidth B and \(\left[\frac{\mathrm{C}}{\mathrm{N}}\right]\), and \(\left[\frac{\mathrm{F}_{\mathrm{D}}}{\mathrm{N}_{0}}\right]\), respectively, at different MVDS interference power levels. Figure 4 displays the variation of \(\left[\frac{\mathrm{C}}{\mathrm{N}}\right]\) versus B for an ideal signal (no interference) and under the influence of MVDS interference at power levels of \(-10\) dBW, \(-5\) dBW, \(0\) dBW, \(5\) dBW, and \(10\) dBW. As expected, for all scenarios, as the bandwidth increases, the ratio decreases. This is because a wider bandwidth captures more noise power, thus reducing the ratio of carrier power to the total noise and interference power. Notably, the ideal signal (no interference) consistently exhibits the highest \(\left[\frac{\mathrm{C}}{\mathrm{N}}\right]\) values across the entire bandwidth range. The introduction of MVDS interference progressively degrades the \(\left[\frac{\mathrm{C}}{\mathrm{N}}\right]\), with higher MVDS power levels resulting in more significant reductions. For instance, at a bandwidth of \(3\) MHz, the \(\left[\frac{\mathrm{C}}{\mathrm{N}}\right]\) for the ideal case is approximately \(6.5\) dB. However, with \(10\) dBW of interference, this value drops to around \(-12\) dB. Figure 5 presents a similar analysis that focuses on the \(\left[\frac{\mathrm{F}_{\mathrm{D}}}{\mathrm{N}_{0}}\right]\) ratio. This metric is crucial for assessing the bit error rate performance of a digital communication system. Figure 4: (C/N) comparison between ideal signal and interference from MVDS. Figure 5: E\({}_{\mathrm{b}}\)/N\({}_{0}\) comparison between ideal signal and interference from MVDS. The trends observed in Figure 5 mirror those in Figure 4. At a bandwidth of 3 MHz, the ideal \(\left[\frac{\mathbb{E}_{\mathbb{R}}}{\mathbb{N}_{0}}\right]\) is around 4.9 dB, while with 10 dBW of MVDS interference, it plummets to approximately \(-13.9\) dB. These results indicate a severe degradation in the energy per bit relative to the noise and interference, suggesting a significant impact on the reliability of the communication link at higher MVDS interference levels. The critical threshold where \(\left[\frac{\mathbb{E}_{\mathbb{R}}}{\mathbb{N}_{0}}\right]\) becomes negative is crossed at MVDS power levels of 0 dBW and above, implying a high probability of communication failure under such conditions.