Threshold-setting for spectrum sensing based on statistical information

Umebayashi, Kenta; Hayashi, Kazuhiro; Lehtomäki, Janne J. (2017-04-05)
 
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https://doi.org/10.1109/LCOMM.2017.2691004

Umebayashi, Kenta
Hayashi, Kazuhiro
Lehtomäki, Janne J.
Institute of Electrical and Electronics Engineers
05.04.2017

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

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doi:https://doi.org/10.1109/LCOMM.2017.2691004
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https://urn.fi/URN:NBN:fi-fe2018090434556
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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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