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Spectrum Sensing in Cognitive Radio Network Using Cuckoo Search with Energy Heuristic


C. Jayasri and Dr.G. Sakthivel
Abstract

Cognitive Radio (CR) can function as Secondary Users (SUs) and the frequency bands are underutilized, a CR approach is proposed to enhance the efficacy of the spectrum. To avoid harmful interference, the chief functionality in CR Networks (CRNs) is to consistently detect signals from channel fading/shadowing. Nonetheless, single CRs don’t have the ability to identify if a primary radio is present; this is because of channel fading. This work uses a Cuckoo Search (CS) mechanism in CRN suggesting an optimal cooperative spectrum sensing scheme. Space diversity can be provided for spectrum sensing by using multiple cooperative SUs in the CRN. After optimal fusion weights have been acquired using the fusion centre techniques, the final global decision can be obtained using an optimal global threshold. Accurate approximations of Primary User (PU) signal strengths and noise differences at distinct cooperative SUs are required for optimal cooperative sensing scheme. It has been shown by the outcomes that not only is the proposed CS based cooperative technique effective and stable but also has a higher probability of detection compared to Modified Deflection Coefficient (MDC) based technique.

Volume 12 | 03-Special Issue

Pages: 339-348

DOI: 10.5373/JARDCS/V12SP3/20201270