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Reseach Article

A Survey of Cognitive Radio Reconfigurable Antenna Design and Proposed Design using Genetic Algorithm

by Zainab Aizaz, Poonam Sinha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 137 - Number 3
Year of Publication: 2016
Authors: Zainab Aizaz, Poonam Sinha
10.5120/ijca2016908659

Zainab Aizaz, Poonam Sinha . A Survey of Cognitive Radio Reconfigurable Antenna Design and Proposed Design using Genetic Algorithm. International Journal of Computer Applications. 137, 3 ( March 2016), 11-16. DOI=10.5120/ijca2016908659

@article{ 10.5120/ijca2016908659,
author = { Zainab Aizaz, Poonam Sinha },
title = { A Survey of Cognitive Radio Reconfigurable Antenna Design and Proposed Design using Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 137 },
number = { 3 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 11-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume137/number3/24254-2016908659/ },
doi = { 10.5120/ijca2016908659 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:38:27.624991+05:30
%A Zainab Aizaz
%A Poonam Sinha
%T A Survey of Cognitive Radio Reconfigurable Antenna Design and Proposed Design using Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 137
%N 3
%P 11-16
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cognitive radio network (CRN) is the latest paradigm of techniques for enhancing the utility and quality of radio communication systems by the efficient utilization of frequency spectrum. It is classified by overlay and underlay cognitive radio. Antennas that designed for the overlay scheme must have the capability to sense the channel and provide communication over a portion of it. Overlay antennas can be designed as two-port, where one port supports ultra wideband, and the other supports narrowband and are frequency reconfigurable. Moreover, they can be implemented as a one-port antenna, in which the same port is used for both sensing as well as communicating, and thus it must switch between wideband and narrowband modes. Evolutionary computation techniques like the genetic algorithm (GA) are efficient in designing new kinds of antennas with challenging designs. A binary genetic algorithm can be utilized to optimize the shape of an antenna to achieve maximum possible frequency reconfigurability with minimum number of switches for obtaining a wideband performance from a single cognitive radio antenna.

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Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio networks reconfigurable antenna genetic algorithm.