A Comparative Analysis of Different Spectrum Sensing Techniques in Cognitive Radio Networks

Abstract

The enormous need for radio frequency (RF) spectrum brought on by the exponential rise in wireless communication technologies has caused serious spectrum shortage. Reliable and high-quality wireless communication is hampered by this lack. By allowing dynamic spectrum access for secondary users (SUs) without disturbing licensed primary users (PUs), cognitive radio networks (CRNs) have developed as a solution to this issue. This work investigates several spectrum detection methods employed in CRNs to find accessible frequency ranges. Presented here is a thorough examination of these methods, assessing their detection accuracy, complexity, and robustness performance. The paper also examines the difficulties connected with spectrum sensing and presents future research plans.