Cognitive Spectrum Sensing with Multiple Primary Users in Rayleigh Fading Channels
Accurate detection of white spaces is crucial in cognitive radio networks. Initial investigations show that the accurate detection in a multiple primary users environment is challenging, especially under severe multipath conditions. Among many techniques, recently proposed eigenvalue-based detectors...
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doaj-99f08dac5fec493f9ff90d1efa62172b2020-11-24T23:06:43ZengMDPI AGElectronics2079-92922014-09-013355356310.3390/electronics3030553electronics3030553Cognitive Spectrum Sensing with Multiple Primary Users in Rayleigh Fading ChannelsSalam Al-Juboori0Sattar J. Hussain1Xavier Fernando2Department of Electrical and Computer Engineering., Ryerson University, Toronto, ON M5B 2K3, CanadaDepartment of Electrical and Computer Engineering., Ryerson University, Toronto, ON M5B 2K3, CanadaDepartment of Electrical and Computer Engineering., Ryerson University, Toronto, ON M5B 2K3, CanadaAccurate detection of white spaces is crucial in cognitive radio networks. Initial investigations show that the accurate detection in a multiple primary users environment is challenging, especially under severe multipath conditions. Among many techniques, recently proposed eigenvalue-based detectors that use random matrix theories to eliminate the need of prior knowledge of the signals proved to be a solid approach. In this work, we study the effect of Rayleigh multipath fading channels on spectrum sensing in a multiple primary user environment for a pre-proposed detector called the spherical detector using the eigenvalue approach. Simulation results show interesting outcomes.http://www.mdpi.com/2079-9292/3/3/553cognitive radio (CR)spectrum sensingspherical detectorRayleigh fading channels |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Salam Al-Juboori Sattar J. Hussain Xavier Fernando |
spellingShingle |
Salam Al-Juboori Sattar J. Hussain Xavier Fernando Cognitive Spectrum Sensing with Multiple Primary Users in Rayleigh Fading Channels Electronics cognitive radio (CR) spectrum sensing spherical detector Rayleigh fading channels |
author_facet |
Salam Al-Juboori Sattar J. Hussain Xavier Fernando |
author_sort |
Salam Al-Juboori |
title |
Cognitive Spectrum Sensing with Multiple Primary Users in Rayleigh Fading Channels |
title_short |
Cognitive Spectrum Sensing with Multiple Primary Users in Rayleigh Fading Channels |
title_full |
Cognitive Spectrum Sensing with Multiple Primary Users in Rayleigh Fading Channels |
title_fullStr |
Cognitive Spectrum Sensing with Multiple Primary Users in Rayleigh Fading Channels |
title_full_unstemmed |
Cognitive Spectrum Sensing with Multiple Primary Users in Rayleigh Fading Channels |
title_sort |
cognitive spectrum sensing with multiple primary users in rayleigh fading channels |
publisher |
MDPI AG |
series |
Electronics |
issn |
2079-9292 |
publishDate |
2014-09-01 |
description |
Accurate detection of white spaces is crucial in cognitive radio networks. Initial investigations show that the accurate detection in a multiple primary users environment is challenging, especially under severe multipath conditions. Among many techniques, recently proposed eigenvalue-based detectors that use random matrix theories to eliminate the need of prior knowledge of the signals proved to be a solid approach. In this work, we study the effect of Rayleigh multipath fading channels on spectrum sensing in a multiple primary user environment for a pre-proposed detector called the spherical detector using the eigenvalue approach. Simulation results show interesting outcomes. |
topic |
cognitive radio (CR) spectrum sensing spherical detector Rayleigh fading channels |
url |
http://www.mdpi.com/2079-9292/3/3/553 |
work_keys_str_mv |
AT salamaljuboori cognitivespectrumsensingwithmultipleprimaryusersinrayleighfadingchannels AT sattarjhussain cognitivespectrumsensingwithmultipleprimaryusersinrayleighfadingchannels AT xavierfernando cognitivespectrumsensingwithmultipleprimaryusersinrayleighfadingchannels |
_version_ |
1725621451934924800 |