DBN-Oriented Compressive Spectrum Sensing in 5G Utilizing CRNs: A Sun Flower Based Optimization Concept

In recent years, communication technology and standards have advanced in bounds and leaps from traditional 1G communication to the more contemporary 5G as well as 6G technologies in a relatively short period of time. Nevertheless, as spectrum becomes scarcer for these devices, CRNs have arisen as viable methods for intelligently allocating the essential spectrum to users. The existence or lack of PU activity is detected using a compressive sensing on the basis of cyclo-stationary feature detection approach on the basis of a strong DBN classifier. The ideal detection has been redesigned to minimize the chance of inaccuracy, and the detection probability and accuracy have been enhanced.