Wavelet-based sensing technique in cognitive radio network

Mohamad, Mas Haslinda and Zamri, Nurusolihah and Ibrahim, Nor Khairiah (2023) Wavelet-based sensing technique in cognitive radio network. TELKOMNIKA (Telecommunication Computing Electronics And Control), 21 (5). pp. 968-974. ISSN 1693-6930

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Abstract

Cognitive radio is a smart radio that can change its transmitter parameter based on interaction with the environment in which it operates. The demand for frequency spectrum is growing due to a big data issue as many Internet of Things (IoT) devices are in the network. Based on previous research, most frequency spectrum was used, but some spectrums were not used, called spectrum hole. Energy detection is one of the spectrum sensing methods that has been frequently used since it is easy to use and does not require license users to have any prior signal understanding. But this technique is incapable of detecting at low signal-to-noise ratio (SNR) levels. Therefore, the wavelet-based sensing is proposed to overcome this issue and detect spectrum holes. The main objective of this work is to evaluate the performance of wavelet-based sensing and compare it with the energy detection technique. The findings show that the percentage of detection in wavelet-based sensing is 83% higher than energy detection performance. This result indicates that the wavelet-based sensing has higher precision in detection and the interference towards primary user can be decreased.

Item Type:	Article
Uncontrolled Keywords:	Cognitive radio Empirical data, Spectrum holes, Spectrum sensing, Wavelet detection
Divisions:	Faculty of Electronics and Computer Engineering
Depositing User:	Norfaradilla Idayu Ab. Ghafar
Date Deposited:	04 Oct 2024 15:30
Last Modified:	04 Oct 2024 15:30
URI:	http://eprints.utem.edu.my/id/eprint/27625
Statistic Details:	View Download Statistic

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