Dynamic Threshold Selection Through Noise Variance for Spectrum Sensing
A.Sai Suneel1, S. Shiyamala2
1A. Sai Suneel, Research Scholar, Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai (Tamil Nadu), India.
2Dr. S. Shiyamala, Associate Professor, Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi, Chennai (Tamil Nadu), India.
Manuscript received on 25 May 2019 | Revised Manuscript received on 03 June 2019 | Manuscript Published on 22 June 2019 | PP: 230-234 | Volume-8 Issue-3S, February 2019 | Retrieval Number: C10460283S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Technology is increasing day by day and the number of users utilizing the spectrum also increases. But the licensed spectrum is limited and used by licensed users only. Hence, there is need to provide the spectrum for all the other unlicensed users in the licensed spectrum without causing interference with the primary users. Here there is a way to provide the above requirements using the new application i.e. Cognitive radio. This device senses the spectrum using different techniques. To overcome the disadvantages of the previous techniques, the paper the spectrum sensing is accomplished by using the dynamic assortment of threshold base on the noise level current in the signal and also base on the energy recognition of the signal. The simulation results prove that this process provides better results when compared to state of art methods.
Keywords: Auto Correlation, Cognitive Radio, Energy Detection, Spectrum Sensing, Sensing Threshold, Dynamic Selection.
Scope of the Article: Remote Sensing