MATLAB Code Implementation for Frequency Reuse Analysis

For frequency reuse analysis, we need to consider multiple aspects. First, we need to analyze system performance under different power ratios between inner and outer rings to deeply understand system advantages and limitations. This typically involves implementing power allocation algorithms in MATLAB using functions like 'pdist' for distance calculations and custom optimization routines for power ratio adjustments. Second, we need to investigate different frequency reuse schemes such as time division multiplexing and code division multiplexing to identify optimal solutions. This can be implemented using MATLAB's Communication Toolbox with functions like 'comm.TDM' and 'comm.CDMA' for scheme simulation and comparison. Additionally, we need to evaluate system reliability and stability while exploring potential improvement strategies to enhance system performance and reliability. The analysis may include BER (Bit Error Rate) calculations using 'berawgn' function and stability metrics through Monte Carlo simulations. Finally, we need to summarize and synthesize the analysis results to better understand and apply frequency reuse technology, potentially creating comprehensive MATLAB visualization scripts using 'plot' and 'spectrumAnalyzer' functions for result presentation.