Abstract

Cognitive Radio is a self-learning, adaptive and intelligent radio which utilizes the spectrum effectively to avoid the spectrum shortage problem. CR having the capacity to sense the spectrum holes to transfer the data. Spectrum policies are applied to select the frequency band in which the data have to transfer at presence of user. In this study, for proficient spectrum utilization, a continuous wavelet based approach for the detection of sub band edges in wide spectrum band of concern where primary users are available. Here the exact occupation of primary users and noise signal has been detected by calculating Power Spectral Density for various SNR and threshold. The threshold that decides the class has been obtained by LEACH algorithm. Simulation results show that the frequency range occupied by primary user can be computed by the proposed technique more accurately. This technique is found to be computationally attractive and suitable for hardware implementation.

Keywords:

Cognitive radio, continuous wavelets transform, spectrum sensing,

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Competing interests

The authors have no competing interests.

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The authors have no competing interests.