Throughput analysis for cognitive radio networks with multiple primary users and imperfect spectrum sensing

Tang, W., Shakir, M.Z., Imran, M.A. , Tafazolli, R. and Alouini, M.-S. (2012) Throughput analysis for cognitive radio networks with multiple primary users and imperfect spectrum sensing. IET Communications, 6(17), pp. 2787-2795. (doi:10.1049/iet-com.2012.0236)

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Abstract

In cognitive radio networks, the licensed frequency bands of the primary users (PUs) are available to the secondary user (SU) provided that they do not cause significant interference to the PUs. In this study, the authors analysed the normalised throughput of the SU with multiple PUs coexisting under any frequency division multiple access communication protocol. The authors consider a cognitive radio transmission where the frame structure consists of sensing and data transmission slots. In order to achieve the maximum normalised throughput of the SU and control the interference level to the legal PUs, the optimal frame length of the SU is found via simulation. In this context, a new analytical formula has been expressed for the achievable normalised throughput of SU with multiple PUs under prefect and imperfect spectrum sensing scenarios. Moreover, the impact of imperfect sensing, variable frame length of SU and the variable PU traffic loads, on the normalised throughput has been critically investigated. It has been shown that the analytical and simulation results are in perfect agreement. The authors analytical results are much useful to determine how to select the frame duration length subject to the parameters of cognitive radio network, such as network traffic load, achievable sensing accuracy and number of coexisting PUs.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad
Authors: Tang, W., Shakir, M.Z., Imran, M.A., Tafazolli, R., and Alouini, M.-S.
College/School:College of Science and Engineering > School of Engineering
Journal Name:IET Communications
Publisher:Institution of Engineering and Technology
ISSN:1751-8628
ISSN (Online):1751-8636
Copyright Holders:Copyright © 2012 The Institution of Engineering and Technology
First Published:First published in IET Communications 6(17): 2787-2795
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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