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
|Author:||Umebayashi, Kenta1; Hayashi, Kazuhiro1; Lehtomäki, Janne J.2|
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
|Online Access:||PDF Full Text (PDF, 0.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018090434556
Institute of Electrical and Electronics Engineers,
|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.
IEEE communications letters
|Pages:||1585 - 1588|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
222 Other engineering and technologies
This research and development work was supported by the MICSCOPE #165003006.
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