access icon free Improved likelihood ratio statistic-based cooperative spectrum sensing for cognitive radio

© The Institution of Engineering and Technology
Received 06/09/2019, Accepted 26/11/2019, Revised 04/11/2019, Published 16/12/2019

Cooperative spectrum sensing (CSS) is a technique where multiple cognitive radio users cooperate among themselves to make binary decisions about the presence of a primary user. The single cognitive user often faces the hidden terminal problem. However, CSS tackles this problem by sending local sensing-based decisions to the fusion centre. A major drawback of conventional energy detection is the poor performance at low SNR regime. In this work, likelihood ratio statistics is considered as a test-statistic due to its highest statistical power. An improved likelihood ratio statistic-based CSS scheme is proposed by considering several past sensing events. The proposed scheme mitigates the poor detection at low SNR regime and misdetections arising due to sudden drops in signal energy. Furthermore, the generalised Byzantine attack is taken into account considering a security aspect. The proposed scheme is also shown to outperform Anderson Darling-based malicious user detection in CSS at a low SNR regime. The proposed scheme is verified and validated over empirical spectrum data. The performance improvement is at the cost of computational time, which in practice is very low and is justified by the significant performance improvements of the proposed scheme at low SNR regime.

Inspec keywords: cooperative communication; signal detection; telecommunication security; cognitive radio; radio spectrum management

Other keywords: outperform Anderson Darling-based malicious user detection; multiple cognitive radio users; binary decisions; poor detection; empirical spectrum data; likelihood ratio statistics; sensing performance; hidden terminal problem; signal energy; low signal-to-noise ratio; low SNR regime; spectrum sensing; single cognitive user; highest statistical power; sensing events; likelihood ratio statistic-based sensing; conventional energy detection; test-statistic; improved likelihood ratio statistic-based CSS scheme; local sensing-based decisions; primary user

Subjects: Other topics in statistics; Other topics in statistics; Signal detection; Radio links and equipment

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