Energy-efficient cooperative spectrum sensing for detection of licensed users in a cognitive radio network using eigenvalue detector
by Samson I. Ojo; Zachaeus K. Adeyemo; Festus K. Ojo
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 23, No. 2, 2022

Abstract: Spectrum Hole Detection (SHD) in Cognitive Radio Network (CRN) is of great importance to protect licenced users from harmful interference. However, channel impairment affects the SHD resulting in interference. The existing Cooperative Spectrum Sensing (CSS) used to solve this problem suffers from large reporting overhead resulting in energy inefficiency. Hence, this paper proposes an Energy-Efficient CSS (EECSS) for SHD in a CRN using different Secondary Users (SUs) to carry out local sensing with eigenvalue detector. The received signals from the primary user form square matrix to determine the ratio of maximum to minimum eigenvalue. The SUs form clusters to reduce the reporting overheads which are combined at the Cluster Head (CH) using majority fusion rule. The proposed technique is simulated using MATLAB software and evaluated using Probability of Detection (PD), Sensing Time (ST). The results obtained show that EECSS gives better performance than CSS with higher PD and lower ST values.

Online publication date: Mon, 24-Oct-2022

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