Eigenvalue-based spectrum sensing algorithms for cognitive radio

By Yonghong Zeng, Ying-Chang Liang. IEEE Transactions on Communications, 2008

1,293 citations recorded by the source corpus.

Spectrum sensing is a fundamental component in a cognitive radio. In this paper, we propose new sensing methods based on the eigenvalues of the covariance matrix of signals received at the secondary users. In particular, two sensing algorithms are suggested, one is based on the ratio of the maximum eigenvalue to minimum eigenvalue; the other is based on the ratio of the average eigenvalue to minimum eigenvalue. Using some latest random matrix theories (RMT), we quantify the distributions of these ratios and derive the probabilities of false alarm and probabilities of detection for the proposed algorithms. We also find the thresholds of the methods for a given probability of false alarm. The proposed methods overcome the noise uncertainty problem, and can even perform better than the ideal energy detection when the signals to be detected are highly correlated. The methods can be used for various signal detection applications without requiring the knowledge of signal, channel and noise power. Simulations based on randomly generated signals, wireless microphone signals and captured ATSC DTV signals are presented to verify the effectiveness of the proposed methods.

Subfields: Computational Mechanics, Statistics and Probability, Signal Processing

View Paper: https://www.semanticscholar.org/paper/03811d39e2825df94aed3f8df6d73f10d64e66c1

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Citations in the corpus

A Review on Spectrum Sensing for Cognitive Radio: Challenges and Solutions (2010, methodology): “A similar approach like the above can be used for the case of MME detection, as shown in [21, 22].”
Spectrum sensing in cognitive radio (2016, methodology): “The system model used in this work is a close adaptation of the model introduced in [45], which is beneficial regarding comparability of the results.”
Cognitive radio networking and communications: an overview (2011, methodology): “5) Spectrum Sensing Using Multiple Antennas: When the CR Rx is equipped with multiple antennas, eigenvalue-based detection (EBD) can be used for spectrum sensing [34], [35].”
Ten years of research in spectrum sensing and sharing in cognitive radio (2012, methodology): “In a multiple-antenna system, eigenvalue-based detection can be used for spectrum sensing [32,33].”
Advances on Spectrum Sensing for Cognitive Radio Networks: Theory and Applications (2017, methodology): “Among those methods, the eigenvalue based detection [74], [75] has been proposed.”