A Simplified Spectrum Sensing Scheme under Multiple Primary Transmit Power

2014 ◽  
Author(s):  
Qing Lv ◽  
Feifei Gao ◽  
Han Qian ◽  
Tao Jiang
Keyword(s):  
Spectrum Sensing ◽  
Transmit Power ◽  
Multiple Primary

Sequential Detection for Cognitive Radio With Multiple Primary Transmit Power Levels

2017 ◽  
Vol 65 (7) ◽  
pp. 2769-2780 ◽  
Author(s):  
Zan Li ◽  
Shuijun Cheng ◽  
Feifei Gao ◽  
Ying-Chang Liang
Keyword(s):  
Cognitive Radio ◽  
Sequential Detection ◽  
Transmit Power ◽  
Multiple Primary

scholarly journals A Novel Multiband Spectrum Sensing Method Based on Wavelets and the Higuchi Fractal Dimension

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1322 ◽  
Author(s):  
Yanqueleth Molina-Tenorio ◽  
Alfonso Prieto-Guerrero ◽  
Rafael Aguilar-Gonzalez
Keyword(s):  
Fractal Dimension ◽  
Spectrum Sensing ◽  
Cognitive Radios ◽  
Primary User ◽  
Linear Measure ◽  
Signal To Noise ◽  
Primary Users ◽  
Multiple Primary ◽  
Higuchi Fractal Dimension ◽  
Multiple Primary Users

In this work, two novel methodologies for the multiband spectrum sensing in cognitive radios are implemented. Methods are based on the continuous wavelet transform (CWT) and the multiresolution analysis (MRA) to detect the edges of available holes in the considered wideband spectrum. Besides, MRA is also combined with the Higuchi fractal dimension (a non-linear measure) to establish the decision rule permitting the detection of the absence or presence of one or multiple primary users in the studied wideband spectrum. Methods were tested on simulated and real signals showing a good performance. The results present these two methods as effective options for detecting primary user activity on the multiband spectrum. The first methodology works for 95% of cases, while the second one presents 98% of effectivity under simulated signals of signal-to-noise ratios (SNR) higher than 0 dB.

scholarly journals Cognitive Spectrum Sensing with Multiple Primary Users in Rayleigh Fading Channels

2021 ◽  
Author(s):  
Salam Al-Juboori ◽  
Sattar J. Hussain ◽  
Xavier N. Fernando
Keyword(s):  
Fading Channels ◽  
Spectrum Sensing ◽  
Multipath Fading ◽  
Primary User ◽  
Multipath Fading Channels ◽  
Primary Users ◽  
Accurate Detection ◽  
Multiple Primary ◽  
Spherical Detector ◽  
Multiple Primary Users

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.

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