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Volume-based method for spectrum sensing
Lei Huang, H. C. So, Cheng Qian
Electrical and Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
39
Scopus citations
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Keyphrases
Random Matrix Theory
100%
Spectrum Sensing
100%
Volume-based Method
100%
Sample Covariance Matrix
66%
Volume-based
66%
Tracy-Widom Distribution
66%
Cognitive Radio
33%
Received Signal
33%
Superior Performance
33%
Decision Threshold
33%
Gaussian Noise
33%
Closed-form Expression
33%
Signal Sampling
33%
Numerical Evaluation
33%
Extremal Eigenvalues
33%
Engineering
Matrix Theory
100%
Sample Covariance Matrix
66%
Cognitive Radio
33%
Simulation Result
33%
Illustrates
33%
Closed Form Expression
33%
Signal Sample
33%
Gaussian White Noise
33%
Numerical Evaluation
33%
Primary User
33%
Eigenvalue
33%
Extremal
33%
Computer Science
Sample Covariance Matrix
100%
Superior Performance
50%
closed-form expression
50%
Eigenvalue
50%
Cognitive Radio
50%
Decision Threshold
50%
Gaussian White Noise
50%
Earth and Planetary Sciences
Matrix Theory
100%
Covariance
66%
Random Noise
33%
Physics
Covariance
100%
Random Noise
50%