Collaborative Spectrum Sensing Based on Energy Detection in Cognitive Radio Networks
Energy detection-based collaborative spectrum sensing in cognitive radio systems, analyzing the relationship between signal-to-noise ratio (SNR) and detection probability. The implementation compares theoretical and simulated values for both single-node and three-node configurations, demonstrating system performance through MATLAB-based simulations using energy detection algorithms and collaborative decision fusion techniques.