Hybrid Spectrum Sensing Enhancement for Cognitive Radio in 6G Radio System

Abstract

This article highlights the potential advantages of the proposed hybrid algorithm for 6G. The algorithm’s adaptability addresses the dynamic spectral characteristics of 6G environments, enabling a seamless transition between different spectral conditions. The hybrid approach holds promise for enhancing spectrum utilization, reducing interference, and optimizing overall communication system performance. As 6G technology evolves, the integration of energy detection and cyclostationary spectrum sensing through the hybrid algorithm offers a glimpse into innovative techniques that can shape the future of wireless communication, unlocking the potential for enhanced connectivity, efficiency, and user experience. Several parameters such as the probability of detection (P_d), probability of false alarm (P_fa), bit error rate (BER), and power spectral density (PSD) are compared and analyzed with the conventional spectrum sensing algorithms. We see that the proposed hybrid algorithms obtain a substantial detection performance at the low signal-to-noise ratio (SNR).