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Spectrum Sensing Techniques in Cognitive Radio Networks

Publication Date : 10/07/2015

Author(s) :

Prof.Dr.Wankhede V.A , Miss.P.A.Doshi , Prof. DR. Abhay Wagh.

Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India

Abstract :

Now a days, the available radio spectrum is divided between the licensed and unlicensed frequencies. But due to this, some frequency bands get occupied all the time and some are occupied for less time. This is leading to wastage of frequency spectrum. Again, in recent years, there has been huge growth in wireless communication devices and applications. To fulfill this demand of spectrum, we should use spectrum efficiently because it is limited source. Cognitive Radio is the recent paradigm that enables a more flexible and efficient system to manage the available frequency spectrum. It can allot the vacant frequency bands to CR users (called Secondary Users) opportunistically and vacate the band whenever needed by licensed users. Hence spectrum sensing is the basic task of cognitive radio system which helps to make decision that whether PU(Primary User) is occupying a particular frequency band or not. Here, in this paper, we are going to discuss four spectrum sensing techniques i.e. Energy detection method, Matched Filter Detection method, Cyclostationary Detection method and Maximum to Minimum Eigen Value Ratio method. We have also presented a performance analysis of these four methods on the basis of probability of detection (Pd), probability of False Alarm (Pf) and Probability of Missed Detection (Pm). We have simulated the results by using MATLAB 2012a.

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