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An Optimized Sensing and Detection of Cognitive Radio Network using Monte Carlo Simulation

by Abhinav Shukla, Puran Gour
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 162 - Number 4
Year of Publication: 2017
Authors: Abhinav Shukla, Puran Gour
10.5120/ijca2017913258

Abhinav Shukla, Puran Gour . An Optimized Sensing and Detection of Cognitive Radio Network using Monte Carlo Simulation. International Journal of Computer Applications. 162, 4 ( Mar 2017), 7-11. DOI=10.5120/ijca2017913258

@article{ 10.5120/ijca2017913258,
author = { Abhinav Shukla, Puran Gour },
title = { An Optimized Sensing and Detection of Cognitive Radio Network using Monte Carlo Simulation },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 162 },
number = { 4 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume162/number4/27229-2017913258/ },
doi = { 10.5120/ijca2017913258 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:08:03.173804+05:30
%A Abhinav Shukla
%A Puran Gour
%T An Optimized Sensing and Detection of Cognitive Radio Network using Monte Carlo Simulation
%J International Journal of Computer Applications
%@ 0975-8887
%V 162
%N 4
%P 7-11
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Cognitive Radio Network is intelligent network, which has the capability to efficiently utilize the available spectrum using various spectrum-sensing techniques, in addition with the intelligent energy consumption and bandwidth allocation. In this paper we are simulating the cognitive radio network using Monte-Carlo simulation model. The proposed system is tested under Additive White Gaussian noise (AWGN) channel and Rayleigh Fading Channel environment. During simulation the probability of detection (Pd) is calculated for given signal to noise ratio (SNR) and false alarm rate (Pf). To enhance the system performance median filter is implemented which significantly enhances the performance of detection probability for given SNR and Pf.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Probability of Detection(Pd) False Alarm Rate(Pf) SNR Monte-Carlo Simulation and Median Filtering.

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