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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