Blind Spectrum Sensing for Cognitive Radio Channels with Noise Uncertainty

In this letter, a blind spectrum sensing method is proposed which does not need any information of primary users and the noise power. For a given number of observation samples of primary channels, the spectrum sensing is reformulated into a Student's t-distribution testing problem. The analytic...

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Bibliographic Details
Published in:IEEE transactions on wireless communications 2011-06, Vol.10 (6), p.1721-1724
Main Authors: Shen, Lei, Wang, Haiquan, Zhang, Wei, Zhao, Zhijin
Format: Article
Language:English
Subjects:
Applied sciences
Blinds
Channels
Cognitive radio
Detection
energy detection
Exact sciences and technology
Fading
fading channel
Gain
Information, signal and communications theory
Mathematical analysis
Noise
Noise levels
noise uncertainty
Radiocommunication specific techniques
Radiocommunications
Sensors
Signal and communications theory
Signal representation. Spectral analysis
Signal to noise ratio
Signal, noise
spectrum sensing
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Uncertainty
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Description
Summary:In this letter, a blind spectrum sensing method is proposed which does not need any information of primary users and the noise power. For a given number of observation samples of primary channels, the spectrum sensing is reformulated into a Student's t-distribution testing problem. The analytical results of the blind spectrum sensing are given. It is shown that over flat fading channels in noise of uncertainty power the blind spectrum sensing greatly outperforms the energy detection at about 4 dB gain.
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2011.040511.101559