Spectrum sensing using 16-QAM and 32-QAM modulation techniques at different signal-to-noise ratio: a performance analysis

Chaudhary N.; Mahajan R.

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Spectrum sensing using 16-QAM and 32-QAM modulation techniques at different signal-to-noise ratio: a performance analysis

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Spectrum sensing techniques are implemented for effective use of spectrum resources in the cognitive-radio. In this research work attempt has been made for the performance of energy detector with cooperative spectrum sensing using double dynamic threshold on the MATLAB software. Additive white gaussian noise is used and the frequency range between 54 MHz to 862 MHz is considered with wideband. Findings in receiver operative curve have been observed to analyze probability-of-detection (pd) under different values of probability-of-false alarm (pf) condition and diverse ranges of signal to noise ratio with different number of samples of input signal. Presence and absence of primary user has been marked by using a hypothetical model based on Neyman pearson approach. From the results, it has been observed that more the number of sample values, better is the probability-of-detection (pd) value as achieved for 32-QAM signal as compared to 16-QAM signal. Also, better results have been witnessed at-9db signal to noise ratio value as compared to-15db and-20db. This work provides almost 10 of enhancement in the probability of detection at-9db signal to noise ratio for 16-QAM modulated signal as compared to the existing model where the implementation of energy detector spectrum sensing technique through simulink model. © 2023, Institute of Advanced Engineering and Science. All rights reserved.

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《IAES International Journal of Artificial Intelligence》 |2023年第2期|966-973|共8页
作者
Chaudhary N.; Mahajan R.;
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作者单位

Department of Electrical and Electronics Engineering, Manav Rachna International Institute of Research and Studies;

Department of Computer Science Engineering, Manav Rachna International Institute of Research and Studies;

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正文语种英语
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Neyman pearson; Primary user Probability-of-false alarm (pf); Probability-of-detection (pd); Quadrature amplitude modulation; Spectrum sensing;

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Spectrum sensing using 16-QAM and 32-QAM modulation techniques at different signal-to-noise ratio: a performance analysis

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