University of Oulu

A. Al-Tahmeesschi, M. López-Benítez, J. Lehtomäki and K. Umebayashi, "Improving primary statistics prediction under imperfect spectrum sensing," 2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, 2018, pp. 1-6. doi: 10.1109/WCNC.2018.8377259

Improving primary statistics prediction under imperfect spectrum sensing

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Author: Al-Tahmeesschi, Ahmed1; López-Benítez, Miguel1; Lehtomaki, Janne2;
Organizations: 1Dept. of Electrical Engineering and Electronics, University of Liverpool, United Kingdom
2Centre for Wireless Communications, University of Oulu, Finland
3Graduate School of Engineering, Tokyo University of Agriculture and Technology, Japan
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.7 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2019-02-14


Dynamic Spectrum Access (DSA) / Cognitive Radio (CR) systems utilize spectrum sensing to monitor spectrum status and decide transmission time in an opportunistic manner. This results in an increase in wireless spectrum efficiency. Spectrum sensing can also be used to monitor the statistics of primary users to gain information on occupation patterns and estimate the statistics of the primary traffic activity, a useful knowledge that can be exploited in many ways. In this research, three novel algorithms are proposed to enhance the estimation of primary user activity statistics under imperfect spectrum sensing given the knowledge of minimum transmission time. Simulation results show that the proposed methods enable accurate estimation for the primary user statistics. Moreover, the proposed methods are compared to previously proposed methods and it is shown they provide a significantly better estimation accuracy.

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Series: IEEE Wireless Communications and Networking Conference
ISSN: 1525-3511
ISSN-E: 1558-2612
ISSN-L: 1525-3511
ISBN Print: 978-1-5386-1734-2
Pages: 1 - 6
DOI: 10.1109/WCNC.2018.8377259
Host publication: 2018 IEEE Wireless Communications and Networking Conference (WCNC)
Conference: IEEE Wireless Communications and Networking Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: M. López-Benítez would like to thank the support of British Council under UKIERI DST Thematic Partnerships 2016-17 (ref. DST-198/2017). K. Umebayashi would like to thank the support received from the MIC/SCOPE #165003006, and JSPS KAKENHI Grant Numbers JP15K06053 and JP15KK0200.
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