Title: Energy-efficient cooperative spectrum sensing for detection of licensed users in a cognitive radio network using eigenvalue detector

Authors: Samson I. Ojo; Zachaeus K. Adeyemo; Festus K. Ojo

Addresses: Electronic and Electrical Engineering Department, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria ' Electronic and Electrical Engineering Department, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria ' Electronic and Electrical Engineering Department, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria

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.

Keywords: eigenvalue detector; probability of detection; sensing time; secondary user; primary user; cluster.

DOI: 10.1504/IJWMC.2022.126361

International Journal of Wireless and Mobile Computing, 2022 Vol.23 No.2, pp.123 - 131

Accepted: 17 Mar 2022
Published online: 24 Oct 2022 *

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