• Malakpet Madhuri
• Mr. Shakeel. Ahmed

Rapid growth of wireless applications and services has made it essential to address spectrum scarcity problem. In this context, an emerging technology, cognitive radio (CR) has been come out to solve this spectrum scarcity problem. The most important function of cognitive radio is spectrum sensing which requires more accuracy & low complexity. This paper proposes spectrum sensing technique using Wavelet Packet Transform (WPT) based energy detector. Among its fundamental functions, the most important function is spectrum sensing which requires precise accuracy and low complexity. Thus, in this paper, the fast spectrum sensing algorithm using the discrete wavelet transform (DWT) and Fast Fourier Transform (FFT) filtering schemes is proposed. By simulations and complexity analysis, it is verified that the proposed algorithm achieved better results than traditional ones.

Cognitive Radio, Wavelet Packet Transform, Discrete Wavelet Transform, Fast Fourier Transform, Spectrum Sensing.

"Comparative Analysis and Hybrid Modeling of Spectrum Sensing in COGNITIVE RADIOS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 11, page no.260-266, November-2018, Available :http://www.jetir.org/papers/JETIR1811640.pdf

"Comparative Analysis and Hybrid Modeling of Spectrum Sensing in COGNITIVE RADIOS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 11, page no. pp260-266, November-2018, Available at : http://www.jetir.org/papers/JETIR1811640.pdf