The demand for radio frequency (RF) spectrum is always expanding due to the fast expansion of new wireless communication services and applications. The majority of the available RF spectrum has already been licensed to current wireless services. On the other side, it has been discovered that spectrum is substantially underused owing to static frequency allotment to devoted users, resulting in spectrum voids or spectrum opportunities. A CR is a device that scans the spectrum of licensed users (also known as main users) for available spectrum opportunities and sends data only when the spectrum is not used. The CR should be able to detect spectrum occupancy rapidly and accurately in order to maximize spectrum use while minimizing interference to licensed users. This makes spectrum detection one of the cognitive radio's primary functions. The simulation results are shown to demonstrate the usefulness of the suggested strategy. The approach is data-driven and does not need any previous knowledge of the signal. Finally, simulation findings reveal that the technique outperforms alternative spectrum sensing methods. The approach, in particular, improves detection probability.

Cognitive radio, spectrum sensing, cooperative wideband spectrum sensing, Sparse Approximation