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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)
Persistent link: http://urn.fi/urn:nbn:fi-fe2018090434556
Language: English
Published: Institute of Electrical and Electronics Engineers, 2017
Publish Date: 2018-09-04
Description:

Abstract

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
OADOI: https://oadoi.org/10.1109/LCOMM.2017.2691004
Type of Publication: A1 Journal article – refereed
Field of Science: 222 Other engineering and technologies
Subjects:
cognitive radio
dynamic spectrum access
smart spectrum access
spectrum sensing
statistical information
Article
Funding: This research and development work was supported by the MICSCOPE #165003006.
Copyright information: © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.