Two-User NOMA Simulation with Performance Analysis

In this research, we conducted simulations comparing NOMA (Non-Orthogonal Multiple Access) and OFDMA (Orthogonal Frequency Division Multiple Access) communication technologies, specifically analyzing transmission rates between two users. The simulation framework implemented power-domain NOMA where users are distinguished by different power levels, utilizing successive interference cancellation (SIC) at the receiver to decode superimposed signals. Our results demonstrate that NOMA achieves higher transmission rates compared to OFDMA, primarily due to its capability to transmit multiple signals simultaneously on the same frequency band, thereby enhancing spectral efficiency. The MATLAB-based simulation incorporated key functions for channel modeling, power allocation optimization, and SIC implementation. Furthermore, our analysis reveals that NOMA maintains superior performance scalability as user density increases, suggesting significant potential for future mobile communication systems where massive connectivity is required. The code implementation featured adaptive power allocation algorithms that dynamically adjusted transmission power based on channel conditions and quality of service requirements.