TELKOMNIKA Telecommunication Computing Electronics and Control
Wavelet-based sensing technique in cognitive radio network

TELKOMNIKA Telecommunication Computing Electronics and Control
Wavelet-based sensing technique in cognitive radio network

Cognitive radio
Empirical data
Spectrum holes
Spectrum sensing
Wavelet detection

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.

Mas Haslinda Mohamad, Nurusolihah Zamri, Nor Khairiah Ibrahim

http://telkomnika.uad.ac.id

Jun 05, 2023

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