Order-statistic based spectrum sensing for cognitive radio

Soheil Rostami; Kamran Arshad; Klaus Moessner

doi:10.1109/LCOMM.2012.030512.111887

Order-statistic based spectrum sensing for cognitive radio

Soheil Rostami
, Kamran Arshad
, Klaus Moessner

University of Surrey
University of Greenwich

Research output: Contribution to journal › Article › peer-review

49 Scopus citations

Abstract

Spectrum sensing for cognitive radio is challenging. In this letter, a spectrum sensing method based on quintiles of Order-Statistics is proposed. We derive the test statistic and evaluate the performance of the proposed method by Monte Carlo simulations. Simulation results show that order statistics based sensing considerably outperforms both energy detection and anderson darling based sensing in an Additive White Gaussian Noise (AWGN) channel; especially in a lower signal to noise ratio region.

Original language	English
Article number	6168141
Pages (from-to)	592-595
Number of pages	4
Journal	IEEE Communications Letters
Volume	16
Issue number	5
DOIs	https://doi.org/10.1109/LCOMM.2012.030512.111887
State	Published - May 2012
Externally published	Yes

Keywords

Cognitive radio
Spectrum sensing
Statistical tests

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10.1109/LCOMM.2012.030512.111887

Cite this

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KW - Statistical tests

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Order-statistic based spectrum sensing for cognitive radio

Abstract

Keywords

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