Impact of Secondary Users density and Clustering Strategies on Detection of Performance of Spectrum Sharing System

Abstract

Accurate spectrum hole detection is essential for cognitive radio networks to avoid interfering with primary users. However, channel impairments often hinder accurate detection of spectrum hole. This paper examines an energy-efficient cooperative spectrum hole detection method that relies on multiple secondary users and clusters to improve detection rates. The study
uses an eigenvalue detector in a combined Rayleigh and log-normal fading environment, employing majority and OR fusion rules for local and global sensing, respectively. Simulations in MATLAB R2023a demonstrate that increasing the number of secondary users and clusters enhances detection probability and spectral efficiency, while reducing sensing time.