OPTIMIZING SPECTRUM SENSING WITH TWIN-FOLD POWER DETECTION IN COGNITIVE RADIO NETWORKS

Abstract

By allowing dynamic and intelligent spectrum access, Cognitive Radio Networks (CRNs) are revolutionizing wireless communication and solving the problem of underutilization of spectrum. A structured methodology for spectrum sensing is presented in this study, with an emphasis on the energy detection technique, which is a popular method because of its ease of use and low processing needs. Beginning with the detection of an unknown signal, the suggested approach consists of seven steps that determine if a primary user (PU) is present or absent based on energy levels that are observed. The determined threshold value (λ) serves as a benchmark for comparing the energy of the detected signal. Accurately determining spectrum occupancy is made easier by this comparison. The system reduces false detection and increases decision reliability by averaging the values over several sensing instances. In order to provide secondary users with effective spectrum access, the spectrum must be definitively classified as either occupied or unoccupied in the last stage. By ensuring reliable and energy-efficient identification in CRNs, this methodology helps to create wireless communication systems that are more adaptable and dependable.