Performance Simulation of Decode-and-Forward Cooperative Transmission with Various Relay Selection Schemes

In this paper, we investigate the performance simulation of decode-and-forward cooperative transmission employing various relay selection schemes. The implementation involves modeling the cooperative communication system through MATLAB or Python simulations, where key functions handle signal decoding at relay nodes and optimal relay selection based on criteria like channel state information or signal-to-noise ratio. During simulation, we emulate diverse data transmission scenarios by varying parameters such as data volume, transmission distance, and channel conditions through configurable input variables. The simulation framework incorporates algorithms for analyzing bit error rate and outage probability metrics across different selection strategies. Ultimately, these simulation results aim to provide deeper insights and guidance for future research in decode-and-forward cooperative transmission systems, with particular focus on optimizing relay selection algorithms for specific application scenarios.