Cooperative spectrum sensing with secondary user selection for cognitive radio networks over Nakagami-m fading channels

Vien, Quoc-Tuan ORCID logoORCID:, Nguyen, Huan X. ORCID logoORCID: and Nallanathan, Arumugam (2016) Cooperative spectrum sensing with secondary user selection for cognitive radio networks over Nakagami-m fading channels. IET Communications, 10 (1) . pp. 91-97. ISSN 1751-8628 [Article] (doi:10.1049/iet-com.2015.0461)

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This paper investigates cooperative spectrum sensing (CSS) in cognitive wireless radio networks (CWRNs). A practical system is considered where all channels experience Nakagami-$m$ fading and suffer from background noise. The realisation of the CSS can follow two approaches where the final spectrum decision is based on either only the global decision at fusion centre (FC) or both decisions from the FC and secondary user (SU). By deriving closed-form expressions and bounds of missed detection probability (MDP) and false alarm probability (FAP), we are able to not only demonstrate the impacts of the $m$-parameter on the sensing performance but also evaluate and compare the effectiveness of the two CSS schemes with respect to various fading parameters and the number of SUs. It is interestingly noticed that a smaller number of SUs could be selected to achieve the lower bound of the MDP rather using all the available SUs while still maintaining a low FAP. As a second contribution, we propose a secondary user selection algorithm for the CSS to find the optimised number of SUs for lower complexity and reduced power consumption. Finally, numerical results are provided to demonstrate the findings.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer and Communications Engineering
Item ID: 19401
Notes on copyright: Attached full text: This paper is a postprint of a paper submitted to and accepted for publication in IET Communications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library
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Depositing User: Quoc-Tuan Vien
Date Deposited: 19 Apr 2016 16:20
Last Modified: 29 Nov 2022 22:09

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