Spectrum sensing is one of the essential tasks to have a cognitive radio system, which will
allow an unlicensed user, called secondary user, to utilize the spectrum while the licensed …

We give an overview of random matrix theory (RMT) with the objective of highlighting the
results and concepts that have a growing impact in the formulation and inference of …

When the data are high dimensional, widely used multivariate statistical methods such as
principal component analysis can behave in unexpected ways. In settings where the …

We consider multi-antenna cooperative spectrum sensing in cognitive radio networks, when
there may be multiple primary users. A detector based on the spherical test is analyzed in …

In this paper, a comprehensive analysis of the signal-to-noise ratio wall (SNRw) of cognitive
radio (CR)-based non-cooperative spectrum sensing (nCSS) and cooperative spectrum …

The Pietra-Ricci index is often used in economic and social sciences as a measure of
inequality. In this Correspondence, the index is adapted to the cooperative spectrum …

The Gerschgorin circle theorem was recently applied to build two detectors for the purpose
of spectrum sensing in cognitive radio applications, the so-called Gerschgorin radius-based …

In addition to Spectrum Sensing (SS) capability required by a Cognitive Radio (CR), Signal
to Noise Ratio (SNR) estimation of the primary signals at the CR receiver is crucial in order …

The Gini index is a statistical dispersion metric widely used in economic and social sciences
to measure inequalities. In this Letter, it is used to build the novel Gini index detector (GID) …

This paper focuses on the design of the optimal or near-optimal detector resorting to extreme
eigenvalues. A general framework for detector design involving model-driven and data …