Simulation of a Cooperative Communication System with Power Allocation Optimization

This simulation implements a cooperative communication system featuring Amplify-and-Forward (AF) and Decode-and-Forward (DF) cooperation protocols. The receiver performs signal combining using different techniques including Maximum Ratio Combining (MRC) and Selection Combining (SC). The system implements optimal power allocation algorithms based on the specific combining method employed at the receiver. The simulation framework includes comprehensive performance evaluation under various channel conditions, accounting for factors such as signal-to-noise ratio (SNR) and multipath fading effects. Key implementation aspects involve channel modeling functions that generate Rayleigh or Rician fading patterns, and SNR calculation modules that dynamically adjust transmission parameters. System component parameters are optimized through iterative adjustment algorithms to enhance overall performance and reliability. The code structure typically includes separate modules for channel estimation, power allocation calculation, and combining technique implementation. Performance metrics like bit error rate (BER) and outage probability are computed through Monte Carlo simulations. This simulation provides valuable insights into cooperative communication system operation principles and serves as a reference for practical system design and optimization, offering implementable code structures for power allocation algorithms and diversity combining techniques.