Title :

Spectrum sensing for wireless communications using energy ratio and beamforming

Author(s) :

Bouallegue, Kais [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Dayoub, Iyad [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
COMmunications NUMériques - IEMN [COMNUM - IEMN]
Gharbi, Mohamed [Auteur]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
COMmunications NUMériques - IEMN [COMNUM - IEMN]

Conference title :

ICC 2017 - 2017 IEEE International Conference on Communications

City :

Paris

Country :

France

Start date of the conference :

2017-05-21

Publisher :

IEEE

English keyword(s) :

"Sensors"
"Eigenvalues and eigenfunctions"
"Array signal processing"
"Receiving antennas"
"Covariance matrices"
"Wireless communication"
"Signal to noise ratio"

HAL domain(s) :

Informatique [cs]
Informatique [cs]/Réseaux et télécommunications [cs.NI]
Informatique [cs]/Intelligence artificielle [cs.AI]
Sciences de l'ingénieur [physics]
Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Sciences de l'ingénieur [physics]/Electronique

English abstract : [en]

In this paper, a new spectrum sensing (SS) method, called maximum-to-mean energy detector (MMED), is proposed. Considering a wireless communication system with many angles of arrival (AoA), the suggested method is based ...
Show more >In this paper, a new spectrum sensing (SS) method, called maximum-to-mean energy detector (MMED), is proposed. Considering a wireless communication system with many angles of arrival (AoA), the suggested method is based on beamforming and the ratio of the maximum energy to the mean one of the received signal. The proposal is totally blind and it does not require the knowledge of the signal, the channel or the noise power. Theoretical development of the detection threshold and the performance analysis of the method are first provided. Then, simulation results show an interesting performance of MMED compared to the well-known blindly combined energy detection (BCED) under very low signal to noise ratio (SNR).Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

• Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL