Cooperative Spectrum Sensing Using Reptile Search Algorithm in Cognitive Radio

Abstract

Given the growing requirement for wireless communication and the limited nature of the spectrum, cognitive radio technology plays a crucial role in optimizing the use of the radio frequency spectrum. Spectrum sensing is the core function of the cognitive radio network. In this paper, the recently developed Reptile Search Algorithm (RSA) is used to increase detection capabilities in cooperative spectrum sensing for cognitive radio systems. Weight assignments were made to secondary users with the help of soft fusion scheme and Reptile Search Algorithm was used to ensure that these assignments gave the highest detection results. The results were compared with the other two optimization algorithms, Particle Swarm Optimization (PSO) and Aquila Optimizer (AO), and it was seen that Reptile Search Algorithm provides better results than the other algorithms.