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Enhanced Detection of Cognitive Radio Under Noisy Channels

S. Khanam1 , A. Kaur2

Section:Research Paper, Product Type: Journal Paper
Volume-4 , Issue-10 , Page no. 116-119, Oct-2016

Online published on Oct 28, 2016

Copyright © S. Khanam, A. Kaur . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S. Khanam, A. Kaur, “Enhanced Detection of Cognitive Radio Under Noisy Channels,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.10, pp.116-119, 2016.

MLA Style Citation: S. Khanam, A. Kaur "Enhanced Detection of Cognitive Radio Under Noisy Channels." International Journal of Computer Sciences and Engineering 4.10 (2016): 116-119.

APA Style Citation: S. Khanam, A. Kaur, (2016). Enhanced Detection of Cognitive Radio Under Noisy Channels. International Journal of Computer Sciences and Engineering, 4(10), 116-119.

BibTex Style Citation:
@article{Khanam_2016,
author = {S. Khanam, A. Kaur},
title = {Enhanced Detection of Cognitive Radio Under Noisy Channels},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {10 2016},
volume = {4},
Issue = {10},
month = {10},
year = {2016},
issn = {2347-2693},
pages = {116-119},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1087},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1087
TI - Enhanced Detection of Cognitive Radio Under Noisy Channels
T2 - International Journal of Computer Sciences and Engineering
AU - S. Khanam, A. Kaur
PY - 2016
DA - 2016/10/28
PB - IJCSE, Indore, INDIA
SP - 116-119
IS - 10
VL - 4
SN - 2347-2693
ER -

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Abstract

Cognitive radio have been considered as the able-bodied approach with the goal of enhancing spectral efficiency. The prime aim of cognitive radio is spectrum sensing. Spectrum sensing senses the presence of white spaces, but in fading environment unlicensed users are unable to discover the presence of licensed user in the band and this leads to interference. Therefore the aim of this paper is to increase SNR in two noisy environments, AWGN and Rayleigh Fading Environment using matched filter process and to increase lifetime of cognitive radio network using genetic algorithm.

Key-Words / Index Term

Primary Users, Secondary Users, Matched Filter, Genetic Algorithm

References

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