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Analysis of Frequency Division Spectrum Sensing in Cognitive Radio Network for Nakagami Fading Channel

by O.p.meena, Ajay Somkuwar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 114 - Number 3
Year of Publication: 2015
Authors: O.p.meena, Ajay Somkuwar
10.5120/19960-1794

O.p.meena, Ajay Somkuwar . Analysis of Frequency Division Spectrum Sensing in Cognitive Radio Network for Nakagami Fading Channel. International Journal of Computer Applications. 114, 3 ( March 2015), 29-32. DOI=10.5120/19960-1794

@article{ 10.5120/19960-1794,
author = { O.p.meena, Ajay Somkuwar },
title = { Analysis of Frequency Division Spectrum Sensing in Cognitive Radio Network for Nakagami Fading Channel },
journal = { International Journal of Computer Applications },
issue_date = { March 2015 },
volume = { 114 },
number = { 3 },
month = { March },
year = { 2015 },
issn = { 0975-8887 },
pages = { 29-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume114/number3/19960-1794/ },
doi = { 10.5120/19960-1794 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:51:45.253088+05:30
%A O.p.meena
%A Ajay Somkuwar
%T Analysis of Frequency Division Spectrum Sensing in Cognitive Radio Network for Nakagami Fading Channel
%J International Journal of Computer Applications
%@ 0975-8887
%V 114
%N 3
%P 29-32
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we have analyzed and simulated Frequency Division Spectrum Sensing (FDSS) in Cognitive Radio Network (CRN) for Nakagami fading channel. The simulation results shows that for different values of Nakagami Parameters (m) the performance of the FDSS is different. As the value of Nakagami parameter (m) increases probability of false alarm decreases, probability of detection increases and secondary user's throughput also increases. The simulation results show that for the optimum spectrum sensing bandwidth (Ws) 0. 5 MHz, the false alarm probability decreases by 49. 6% and 96. 6% for m=2 and m=5 respectively as compare to m=1, the probability of detection increases by 6% and 17. 7% for m=2 and m=5 respectively as compare to m=1, the secondary user throughput increases by 14% and 29. 1% for m=2 and m=5 respectively as compare to m=1.

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Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio spectrum sensing framework Nakagami fading channel

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