Spectrum sensing in low signal to noise ratio region is of great significance in cognitive radio networks. Eigenvalue based spectrum sensing methods are ...
The Spectrum sensing (SS) is one of the elementary functionalities of cognitive radio networks. Advances in random matrix theory (RMT) have been exploited well ...
Spectrum sensing is a fundamental stage in cognitive radio networks. The eigenvalue-based spectrum sensing is an optimum blind sensing scheme for sensing of ...
Weighted Eigenvalues based Spectrum Sensing for Cognitive Radio Systems ... Performance Analysis of Various Eigenvalue-Based Spectrum Sensing Algorithms ...
Jul 1, 2020 · This article makes full use of the advantages of these algorithms and proposes a universal spectrum sensing algorithm based on maximum eigenvalue, arithmetic ...
New sensing methods based on the eigenvalues of the covariance matrix of signals received at the secondary users can be used for various signal detection ...
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This thesis was written during my time as a research assistant at the Institute for Theoretical Information Technology of RWTH Aachen University.
The eigenvalues of the sample covariance matrix can capture signal correlations and noise characteristics well, which are widely used for spectrum sensing ...
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Jun 2, 2016 · This paper focuses on the problem of the eigenvalue weighting based spectrum sensing in multiantenna cognitive radio system.
Dec 12, 2020 · In the eigenvalue-based spectrum sensing methods, the decision threshold has been obtained based on random matrix theory to make a hypothesis ...