Unified Analysis of Low-SNR Energy Detection and Threshold Selection

For spectrum sensing in cognitive radio networks, the IEEE 802.22 standard requires the detection of primary signals with a signal-to-noise ratio (SNR) as low as -20 dB and receiver sensitivity as low as -116 dBm. Under such low-SNR levels, the performance of a conventional energy detector is analyz...

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Published inIEEE transactions on vehicular technology Vol. 64; no. 11; pp. 5006 - 5019
Main Authors Atapattu, Saman, Tellambura, Chintha, Jiang, Hai, Rajatheva, Nandana
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Cognitive radio
Detectors
Diversity reception
energy detection
low-SNR
Rayleigh channels
Signal to noise ratio
spectrum sensing
threshold selection
energy detection
low signal-to-noise ratio (SNR)
Cognitive radio
threshold selection
spectrum sensing
Online AccessGet full text
ISSN0018-9545
1939-9359
DOI10.1109/TVT.2014.2381648

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Abstract For spectrum sensing in cognitive radio networks, the IEEE 802.22 standard requires the detection of primary signals with a signal-to-noise ratio (SNR) as low as -20 dB and receiver sensitivity as low as -116 dBm. Under such low-SNR levels, the performance of a conventional energy detector is analyzed in this paper. The analysis includes novel expressions for missed-detection probability and area under the receiver operating characteristic (ROC) curve. Thus, a unified framework covering fading channels, square-law diversity combining, and cooperative spectrum-sensing scenarios is developed. The detection threshold is optimized to minimize the total error rate subject to bounded false-alarm and missed-detection probabilities, which outperforms traditional detection threshold selection. Numerical results and Monte Carlo simulation results with the IEEE 802.22 sensing requirements are provided and discussed.
AbstractList For spectrum sensing in cognitive radio networks, the IEEE 802.22 standard requires the detection of primary signals with a signal-to-noise ratio (SNR) as low as -20 dB and receiver sensitivity as low as -116 dBm. Under such low-SNR levels, the performance of a conventional energy detector is analyzed in this paper. The analysis includes novel expressions for missed-detection probability and area under the receiver operating characteristic (ROC) curve. Thus, a unified framework covering fading channels, square-law diversity combining, and cooperative spectrum-sensing scenarios is developed. The detection threshold is optimized to minimize the total error rate subject to bounded false-alarm and missed-detection probabilities, which outperforms traditional detection threshold selection. Numerical results and Monte Carlo simulation results with the IEEE 802.22 sensing requirements are provided and discussed.
Author Rajatheva, Nandana
Atapattu, Saman
Jiang, Hai
Tellambura, Chintha
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Issue 11
Keywords energy detection
low signal-to-noise ratio (SNR)
Cognitive radio
threshold selection
spectrum sensing
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SubjectTerms Cognitive radio
Detectors
Diversity reception
energy detection
low-SNR
Rayleigh channels
Signal to noise ratio
spectrum sensing
threshold selection
Title Unified Analysis of Low-SNR Energy Detection and Threshold Selection
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