## 4 Results  
The efficiency of the proposed Quantum Key Distribution (QKD) algorithm under low-orbit communication conditions was evaluated using numerical simulations conducted with specialized software. This simulation framework incorporated detailed physical parameters--including laser and detector characteristics, channel properties, and environmental factors--to model the system's performance accurately. A comparative performance analysis was undertaken between the proposed QKD algorithm and conventional encryption methods (AES-128 and RSA-2048) under identical low-orbit conditions. Table 8 summarizes key metrics such as the transfer speed, error rate, and computational load (expressed in CPU cycles per byte). The QKD algorithm achieves a data rate that is substantially higher than that of RSA and is nearly comparable to AES, while delivering a security level similar to RSA. Its computational load is also markedly lower than that of RSA, which renders it particularly well suited for deployment on unmanned aerial vehicles (UAVs) with limited resources. It should be noted, however, that the QKD system exhibits a higher error rate compared to traditional methods. This increased error rate is attributable to the quantum nature of information transmission and the influence of environmental factors such as atmospheric attenuation and detector noise. To mitigate these errors, error correction and information reconciliation methods were implemented. Although these techniques slightly reduced the data transfer rate, they enhanced the overall reliability of the system. In particular, the use of hybrid low-density parity-check (LDPC) and turbo codes--with dynamically adjusted error correction thresholds based on the atmospheric conditions--reduced the reconciliation time by 25% and ensured a robust performance even under high-interference scenarios. \begin{table}
\begin{tabular}{c c c c} \hline
**Scenario** & \begin{tabular}{c} **Communication** \\ **Range (km)** \\ \end{tabular} & \
\begin{tabular}{c} **Key Generation** \\ **Speed (bit/s)** \\ \end{tabular} &
\begin{tabular}{c} **Quantum Channel** \\ **Error Rate (\%)** \\ \end{tabular} \\ \hline Clear day & 10 & 1000 & 1 \\ \hline Cloudiness & 5 & 500 & 3 \\ \hline Night & 15 & 2000 & 0.5 \\ \hline \end{tabular}
\end{table} 
Table 7: Expected simulation results for different scenarios. \begin{table}
\begin{tabular}{c c c c} \hline
**Algorithm** & \begin{tabular}{c} **Transfer Speed** \\ **(Mbps)** \\ \end{tabular} & \
\begin{tabular}{c} **Error Rate (\%)** \\ **(CPU Cycles per byte)** \\ \end{tabular} &
\begin{tabular}{c} **Computational Load** \\ **(CPU Cycles per byte)** \\ \end{tabular} \\ \hline AES-128 & 85 & 0.1 & 20–40 \\ \hline RSA-2048 & 0.8 & 0.01 & 5000–10,000 \\ \hline QKD (BB84) & 50 & 2 & \textasci{}100 \\ \hline \end{tabular}
\end{table} 
Table 8: Comparative analysis of the performance of the proposed QKD algorithm with the traditional encryption methods AES and RSA in low-orbit communication conditions. The study also examined the impact of various environmental factors on QKD performance. For instance, solar background noise during daylight reduced the quantum channel's reliability by 18%, while an increased aerosol density during foggy conditions resulted in a 10% rise in error rates. These observations underscore the need for adaptive modulation strategies to maintain system reliability. Figure 10 illustrates the key generation rate as a function of the communication range under three atmospheric conditions--clear day, cloudy, and night. The results indicate a significant performance advantage during night-time, achieving a key generation rate of 2000 bit/s at a 5 km range, with rates decreasing as the range increases. Clear day conditions outperform cloudy scenarios, and the error bars denote the variability introduced by environmental interference. Figure 10 further highlights the QKD system's resilience, emphasizing its optimal performance during night-time transmissions.