K Bouallegue, M Crussiere - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
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 …
K Bouallegue, M Crussiere… - 2020 IEEE Symposium …, 2020 - ieeexplore.ieee.org
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 …
K Bouallegue, M Crussiere… - 2019 IEEE Symposium on …, 2019 - ieeexplore.ieee.org
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 …
S Ben Chaabane, K Bouallegue, A Belazi… - International Conference …, 2022 - Springer
Spectrum sensing based on Beamforming, like others classification problem, require feature selection to perform learning algorithms and enhance the classification task. This paper …
HB Thameur, I Dayoub - 2021 International Wireless …, 2021 - ieeexplore.ieee.org
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 …
SB Chaabane, K Bouallegue, A Belazi… - … on Wireless and …, 2022 - ieeexplore.ieee.org
This paper proposes blind spectrum sensing (SS) in a narrowband context called Beamforming Fusion assisted Spectrum Sensing (BFSS). Considering a channel with …
K Bouallegue, M Crussière - Physical Communication, 2020 - Elsevier
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 …
K Bouallegue, JY Baudais… - … Conference on Wireless …, 2019 - ieeexplore.ieee.org
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 …