Here, a new spectrum sensing method, called mean-to-square extreme eigenvalue (MSEE),
is proposed. Considering a multiple antenna communication system, the proposal is drawn …

In this paper, we provide new blind spectrum sensing (SS) methods based on a machine
learning (ML) model to overcome the effects of multipath channels. We introduce three ML …

This paper presents a new blind spectrum sensing (SS) algorithm based on a machine
learning model: the radial basis function support-vector machines (RBF-SVM). As features …

In this paper, we investigate the impact of the covariance matrix (CM) size of the received
signal on the performance of spectrum sensing methods. Our analysis is based on two well …

Spectrum sensing based on Beamforming, like others classification problem, require feature
selection to perform learning algorithms and enhance the classification task. This paper …

Spectrum sensing (SS) is one of the most challenging and prominent operation in the
emerging cognitive radio (CR) technology. It is viewed as one of the most intelligent method …

This paper proposes blind spectrum sensing (SS) in a narrowband context called
Beamforming Fusion assisted Spectrum Sensing (BFSS). Considering a channel with …

In this paper, we introduce new totally blind spectrum sensing (SS) algorithms, for fast time-
varying channel, based on eigenvalue decomposition (EVD) of the covariance matrix of the …

In this paper, we propose a new spectrum sensing (SS) algorithm called unified sensing
algorithm (USA). This method exploits the results of different algorithms developed in the …

Spectrum sensing based on Beamforming, like others classification problem, require feature
selection to perform learning algorithms and enhance the classification task. This paper …