University of Oulu

K. Umebayashi, K. Hayashi and J. J. Lehtomäki, "Threshold-Setting for Spectrum Sensing Based on Statistical Information," in IEEE Communications Letters, vol. 21, no. 7, pp. 1585-1588, July 2017. doi: 10.1109/LCOMM.2017.2691004

Threshold-setting for spectrum sensing based on statistical information

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Author: Umebayashi, Kenta1; Hayashi, Kazuhiro1; Lehtomäki, Janne J.2
Organizations: 1Department of Electrical and Electronic Engineering, Tokyo University of Agriculture and Technology, Tokyo 183-8538, Japan
2Centre for Wireless Communications, University of Oulu, 90570 Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.2 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-09-04


The use of prior information related to the spectrum usage of primary users can enhance spectrum sensing performance. However, to the best of our knowledge, no analytical threshold-setting method to achieve target sensing performance, such as detection probability, is reported in the literature. In this letter, a threshold-setting method based on approximate analysis for achieving target detection probability or false alarm probability is proposed. Numerical results confirm that the proposed threshold-setting method is effective, when the number of samples for the spectrum sensing is large or signal-to-noise power ratio is high.

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Series: IEEE communications letters
ISSN: 1089-7798
ISSN-E: 2373-7891
ISSN-L: 1089-7798
Volume: 21
Issue: 7
Pages: 1585 - 1588
DOI: 10.1109/LCOMM.2017.2691004
Type of Publication: A1 Journal article – refereed
Field of Science: 222 Other engineering and technologies
Funding: This research and development work was supported by the MICSCOPE #165003006.
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