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Review of Cognitive Radio by CycloStationary Feature based Spectrum Sensing

Published on August 2015 by Nishantgoyal, and Shweta Ranee
International Conference on Advancements in Engineering and Technology
Foundation of Computer Science USA
ICAET2015 - Number 12
August 2015
Authors: Nishantgoyal, and Shweta Ranee
4aa4d9e9-651a-443a-9f4b-1c38e3196254

Nishantgoyal, and Shweta Ranee . Review of Cognitive Radio by CycloStationary Feature based Spectrum Sensing. International Conference on Advancements in Engineering and Technology. ICAET2015, 12 (August 2015), 16-18.

@article{
author = { Nishantgoyal, and Shweta Ranee },
title = { Review of Cognitive Radio by CycloStationary Feature based Spectrum Sensing },
journal = { International Conference on Advancements in Engineering and Technology },
issue_date = { August 2015 },
volume = { ICAET2015 },
number = { 12 },
month = { August },
year = { 2015 },
issn = 0975-8887,
pages = { 16-18 },
numpages = 3,
url = { /proceedings/icaet2015/number12/22289-4170/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Advancements in Engineering and Technology
%A Nishantgoyal
%A and Shweta Ranee
%T Review of Cognitive Radio by CycloStationary Feature based Spectrum Sensing
%J International Conference on Advancements in Engineering and Technology
%@ 0975-8887
%V ICAET2015
%N 12
%P 16-18
%D 2015
%I International Journal of Computer Applications
Abstract

The principle of cognitive radio systems is to utilize the licensed spectrum when their interference to primary users can be maintained below a certain threshold. Thus, to successfully coexist, cognitive users must have awareness of primary user's presence in the vicinity. As most communication signals exhibit statistical periodicities, Cyclostationary feature detection can be used to perform the task of sensing the spectrum for primary user's presence. A second-order statistical approach is most widely used to perform Cyclostationary Feature Detection in which a set of lags should be chosen for statistical testing. The optimal method for choosing multiple lags requires knowledge of the 4th-order cyclic cumulated of Primary user's signals, which can be a burden in practice. In this work, a new idea for lag set selection is presented, which avoids the mentioned 4th-order cumulated burden. The results are verified via analysis and simulation. It shows that theperformance of the proposed method is comparable to the optimal one in the low signal to noise ratio region where it is most critical for CR applications.

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Index Terms

Computer Science
Information Sciences

Keywords

Cognitive Radio Cyclostationary Characteristic Recognition Range Sensing