📡 Spectrum Sensing Simulator

In this session, Khaja Kamaluddin will present and demonstrate a commercial MATLAB-based spectrum sensing simulator developed at Fusion Research Solutions for cognitive radio networks. The simulator integrates a wide range of classical detection algorithms, including energy detection, matched filter, cyclostationary, covariance, eigenvalue-based, and entropy-driven methods, within a unified and user-friendly graphical interface. It enables real-time performance evaluation under practical wireless channel conditions such as AWGN, Rayleigh, and Rician fading, while analyzing key metrics like probability of detection, false alarm rate, ROC curves, and throughput across varying SNR levels. The platform effectively highlights the trade-offs between detection accuracy, computational complexity, and robustness, making it a valuable tool for academic research, industrial applications, and hands-on learning. Through a live demonstration, Khaja will showcase how this commercial simulator bridges the gap between theoretical spectrum sensing techniques and real-world wireless system implementation.