On the impact of the covariance matrix ...
Type de document :
Communication dans un congrès avec actes
Titre :
On the impact of the covariance matrix size for spectrum sensing methods:beamforming versus eigenvalues
Auteur(s) :
Bouallegue, Kais [Auteur]
Institut d'Électronique et des Technologies du numéRique [IETR]
Crussière, Matthieu [Auteur]
Institut d'Électronique et des Technologies du numéRique [IETR]
Dayoub, Iyad [Auteur]
INSA Institut National des Sciences Appliquées Hauts-de-France [INSA Hauts-De-France]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Institut d'Électronique et des Technologies du numéRique [IETR]
Crussière, Matthieu [Auteur]
Institut d'Électronique et des Technologies du numéRique [IETR]
Dayoub, Iyad [Auteur]

INSA Institut National des Sciences Appliquées Hauts-de-France [INSA Hauts-De-France]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Titre de la manifestation scientifique :
24th IEEE Symposium on Computers and Communications (ISCC 2019)
Ville :
Barcelona
Pays :
Espagne
Date de début de la manifestation scientifique :
2019-06-29
Éditeur :
IEEE
Date de publication :
2019
Mot(s)-clé(s) en anglais :
Cognitive radio
smoothing factor
beamforming
eigenvalues
spectrum sensing
smoothing factor
beamforming
eigenvalues
spectrum sensing
Discipline(s) HAL :
Sciences de l'ingénieur [physics]
Informatique [cs]
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Electronique
Informatique [cs]
Informatique [cs]/Intelligence artificielle [cs.AI]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Electronique
Résumé en anglais : [en]
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-known methods of spectrum sensing (SS), ...
Lire la suite >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-known methods of spectrum sensing (SS), one based on the eigenvalues called maximum-to minimum eigenvalue (MME) and the other is based on the beamforming technique called maximum-to-minimum beam energy (MMBE). From an analytical development, we provide an explanation about the gap of detection performance between the two algorithms according to the size of the CM. Finally, we provide some simulations results to show the impacts of the smoothing factor and the number of antennas on the detection performance for both methods. These two parameters define the size of the CM of the received signal.Lire moins >
Lire la suite >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-known methods of spectrum sensing (SS), one based on the eigenvalues called maximum-to minimum eigenvalue (MME) and the other is based on the beamforming technique called maximum-to-minimum beam energy (MMBE). From an analytical development, we provide an explanation about the gap of detection performance between the two algorithms according to the size of the CM. Finally, we provide some simulations results to show the impacts of the smoothing factor and the number of antennas on the detection performance for both methods. These two parameters define the size of the CM of the received signal.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Commentaire :
eISBN 978-1-7281-2999-0Session 3 - Wireless Data Communication
Source :