We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Call for Paper
January Edition
IJCA solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 20 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

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

by Zainab Aizaz, Poonam Sinha
journal cover thumbnail

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.

References
  1. Joseph Mitola and Gerald Q. Maguire, “Cognitive Radio:Making Software Radios More Personal”, IEEE Pcrsonal Communication, August 1999
  2. Youssef Tawk, Steven A. Lane, and Scott R. Erwin, Christos G. Christodoulou,” Reconfigurable Antennas for Wireless and Space Applications “, Proceedings of the IEEE ,Vol. 100, No. 7, July 2012, Page(s):2250 – 2261.
  3. Dau-Chyrh Chang, Hsin-Chi Li,” Multi Bands Reconfigurable Antenna for Mobile Phone Application”, PIERS Proceedings, Taipei, March 25–28, 2013
  4. Prafulla Chandra Prasad, Neela Chattoraj, “Design and Development of Reconfigurable Microstrip Patch Antenna Using MEMS Switch for Ku-band Application”, Progress In Electromagnetics Research Symposium Proceedings, Stockholm, Sweden, Aug. 12-15, 2013
  5. Y. Tawk, Alex R. Albrecht, S. Hemmady, Gunny Balakrishnan, and Christos G. Christodoulou “Optically Pumped Frequency ReconfigurableAntenna Design”, IEEE antennas and wireless propagation letters, vol. 9, 2010
  6. G. Monti, L. Corchia, and L. Tarricone, “ Patch Antenna with Reconfigurable Polarization”, Progress In Electromagnetics Research C, Vol. 9, 13-23, 2009
  7. Huda A. Majid, Mohamad K. A. Rahim*, Mohamad R. Hamid, and Muhammad F. Ismail, “] Frequency Reconfigurable Microstrip Patch-Slot Antenna with directional Radiation Pattern”, Progress In Electromagnetics Research, Vol. 144, 319-328, 2014
  8. J. Ouyang,F. Yang,S. W. Yang,Z. P. Nie,and Z. Q. Zhao, “A Novel Radiation Pattern and Frequency Reconfigurable Microstrip Antenna on a Thin Substrate for Wide-Band and Wide-Angle Scanning Application”, Progress In Electromagnetics Research Letters, Vol. 4, 167–172, 2008
  9. Bin Liang, Benito Sanz-Izquierdo, Edward A. Parker, and John C. Batchelor, “A Frequency and Polarization Reconfigurable Circularly Polarized Antenna Using Active EBG Structure for Satellite Navigation”, IEEE Transactions on Antennas and Propagation, Vol. 63, No. 1, January 2015
  10. K.S Tang, K.F Man, S. Kwong and Q. He, “ Genetic Algorithms and their Applications”, Signal Processing Magazine IEEE, Vol. 13, No. 6, 1996, Page(s): 22-37
  11. Sichao Song, Murch, R.D., “An Efficient Approach for Optimizing Frequency Reconfigurable Pixel Antennas Using Genetic Algorithms”, Antennas and Propagation, IEEE Transactions, Vol. 62, issue: 2, January 2014, Page(s):609-620
  12. Krishnendu Chattopadhyay, Swarup Das, Santanu Das, and Sekhar R. B. Chaudhuri, “ Ultra-Wideband Performance of Printed Hexagonal Wideslot Antenna with Dual Band-Notched Characteristics”, Progress In Electromagnetics Research C, Vol. 44, 83-93, 2013
  13. Jiangniu Wu , Zhiqin Zhao, Zaiping Nie , and Qing-Huo Liu, “A Compact Printed Dipole Antenna for Wideband Wireless Applications” Progress In Electromagnetics Research C, Vol. 50, 95-102, 2014
  14. Y. Cai, Y. J. Guo, and T. Bird, “A frequency reconfigurable printed Yagi-Uda dipole antenna for cognitive radio applications,” IEEE Trans. Antennas Propagation, vol. 60, no. 6, pp. 2905–2912, Jun. 2012.
  15. Terence Wu, Rong Lin Li,Soon Young Eom, Seong Sik Myoung, Kyutae Lim, Joy Laskar, Soon Ik Jeon, and Manos M. Tentzeris, “Switchable quad-band antennas for cognitive radio base station applications,” IEEE Trans. Antennas Propag., vol. 58, no. 5, pp. 1468–1476, May 2010.
  16. Y. Tawk and C. Christodoulou, “A new reconfigurable antenna design for cognitive radio,” IEEE Antennas Wireless Propagation Letters., vol. 8, pp. 1378–1381, 2009.
  17. Y. Tawk, J. Costantine, K. Avery, and C. Christodoulou, “Implementation of a cognitive radio front-end using rotatable reconfigurable antennas,” IEEE Trans. Antennas Propagation, vol. 59, no. 5, pp. 1773–1778, May 2011.
  18. M. Al-Husseini, Youssef Tawk, C. G. Christodoulou, K. Y. Kabalan, A. El Hajj, “A Reconfigurable Cognitive Radio Antenna Design”, IEEE Antennas and Propagation Society International Symposium (APSURSI), 2010, Page(s): 1-4
  19. M. Al-Husseini, Y. Tawk, C. G. Christodoulou, K. Y. Kabalan, and A. El-Hajj, “Design of an Antenna with Reconfigurable Band Rejection for UWB Cognitive Radio”, PIERS Proceedings, Marrakesh, MOROCCO, March 20-23, 2011
  20. E.E. Altshuler and D.S. Linden. “A Process for the Design of Antennas using Genetic Algorithms.” Patent #5,719,794, 17 February 1998.
  21. J. Michael Johnson, Yahya Rahmat-Samii, “ Genetic Algorithms and Method of Moments (GA/MOM) for the Design of Integrated Antennas”, IEEE Transactions On Antennas And Propagation, Vol. 47, No. 10, October 1999
  22. D. Y. Su, D. M. Fu, And D. Yu. “Genetic Algorithms And Method Of Moments For The Design Of Pifas”, Progress In Electromagnetics Research Letters, Vol. 1, 9–18, 2008
  23. Jeevani, W. Jayasinghe1, 4, Jaume Anguera, and Disala N. Uduwawala, “A Simple Design Of Multi Band Microstrip Patch Antennas Robust To Fabrication Tolerances For Gsm, Umts, Lte, And Bluetooth Applications By Using Genetic Algorithm Op- Timization”Progress In Electromagnetics Research M, Vol. 27, 255-269, 2012
  24. Constantine A. Balanis, Modern Antenna Handbook, 2nd ED. New York, USA: John Wiley & Sons, Inc.2008.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio networks reconfigurable antenna genetic algorithm.

Powered by PhDFocusTM