Abstract :
Wireless communication is one of the essential parts of contemporary technology. Although, the popularity of the wireless communication is growing day by day, the quality and data transfer rate is limited and wireless spectrum needs to be focused more clearly. The telecommunication workers and internet service providers are facing problem of the wireless spectrum in case of the large amount of data transfer rate with respective to the need of customer. The Cognitive Radio (CR) shortage has gradually inclined towards progress. CR ensures the efficient usage of underutilized spectrum. Spectrum sensing performs the key functionality in identifying the free gaps in the spectrum. The aim of this research is to validate the under-utilization of unlicensed ISM band in the vicinity of Nawabshah. A spectrum analyzer is used to collect the raw signal data. The study of the free space in the spectrum is done with
different techniques such as cycle stationary, feature detection, wavelet based edge detection and energy detection. The performance of all three techniques are compared and the optimum technique is suggested. Our in-depth analysis presented in this paper provides a critical review of the spectrum sensing methods and contract spectrum
sensing.
Keyword :
Spectrum sensing, Data Acquisition, Probability