An Analysis of Spectrum Sensing Techniques for Cognitive Radio

Authors(2) :-Mallikarjun Dheshmuk, Arun Badiger

Spectrum is a very scarce and precious resource for a communication system. The entire spectrum will not be used all the time. Some part of the spectrum always remains unused. Also, the television transmission is shifting from analog to digital. Hence, the spectrum which was earlier intended for analog television has been rendered unused. Such unused frequencies are known as white spaces. Conventional systems employ static spectrum allocation, leading to inefficient utilization of spectrum. In order to utilize the spectrum in an efficient manner, spectrum allocation must be done in a dynamic way. Cognitive capability is the ability to sense the communication environment and adapt the parameters accordingly, so as to utilize the spectrum in an effective way. Spectrum sensing is the prime most step of cognitive radio. In this paper, several spectrum sensing techniques like energy based detection, matched filtering, cyclostationary have been analyzed and their simulation results are discussed.

Authors and Affiliations

Mallikarjun Dheshmuk
Electronics and Communication Department., B.L.D.E.A's C.E.T, Vijayapur, Karnataka, India
Arun Badiger
Electronics and Communication Department., G.M.I.T , Davanagere, Karnataka, India

Cognitive Radio, Secondary User, White Spaces

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Publication Details

Published in : Volume 2 | Issue 1 | January-February 2017
Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 90-93
Manuscript Number : CSEIT172126
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Mallikarjun Dheshmuk, Arun Badiger, "An Analysis of Spectrum Sensing Techniques for Cognitive Radio", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 1, pp.90-93, January-February.2017
URL : http://ijsrcseit.com/CSEIT172126

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