Wavelet Based Dynamic Spectrum Sensing for Cognitive Radio under Noisy Environment

AbstractOptimum utilization of available spectra is a major issue of concern in the field of wireless communication technology. Ever growing demand of wireless services poses the problem of frequency scarcity. To improve the spectrum efficiency in order to accumulate more and more users researchers have proposed cognitive radio technology. Cognitive radio, due their adaptive nature adapt themselves as per the available spectrum their by enhancing data transmission, without disturbing other users. The charm of cognitive radio is the spectrum reuse functionality. For cognitive radio environment the primary task is the sensing and identification of spectrum holes in wireless environment. This paper develop a wavelet based efficient spectrum sensing technique for noisy channel with high probability of detection and reduced probability of false triggering. To the best of our knowledge, it is first time that someone has applied the wavelet as a de-nosing tool for improvisation in existing energy detection algorithm for spectrum sensing