CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

New Multiple Antennas Method based Energy Detector for Cognitive Radio over Fading Channels

by Mahmood A. Abdulsattar, Zahir A. Hussein
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 52 - Number 5
Year of Publication: 2012
Authors: Mahmood A. Abdulsattar, Zahir A. Hussein
10.5120/8198-1588

Mahmood A. Abdulsattar, Zahir A. Hussein . New Multiple Antennas Method based Energy Detector for Cognitive Radio over Fading Channels. International Journal of Computer Applications. 52, 5 ( August 2012), 20-25. DOI=10.5120/8198-1588

@article{ 10.5120/8198-1588,
author = { Mahmood A. Abdulsattar, Zahir A. Hussein },
title = { New Multiple Antennas Method based Energy Detector for Cognitive Radio over Fading Channels },
journal = { International Journal of Computer Applications },
issue_date = { August 2012 },
volume = { 52 },
number = { 5 },
month = { August },
year = { 2012 },
issn = { 0975-8887 },
pages = { 20-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume52/number5/8198-1588/ },
doi = { 10.5120/8198-1588 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:51:29.185658+05:30
%A Mahmood A. Abdulsattar
%A Zahir A. Hussein
%T New Multiple Antennas Method based Energy Detector for Cognitive Radio over Fading Channels
%J International Journal of Computer Applications
%@ 0975-8887
%V 52
%N 5
%P 20-25
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we presented a DSP processor to be used as a baseband energy detectorbased spectrum sensingfor cognitive radio (CR) under fading channels. We Derived expression for the average probability of detection over Rayleigh fading channels in easiest form and Nakagami-m channels with no diversity. Novelties of this work came from proposing a multiple antennas signal detection technique for spectrum sensing in a multipath fading environment. Without involving the sampling theorems and the accompanying approximation, we derive closed-form expressions for the probability of detection and false alarm over an additive white Gaussian noise (AWGN) channels for the proposed method. The proposed technique is a low complexity scheme by using two energy detectors and not need prior information about the channel gain in comparison with other methods.

References
  1. FCC, "Spectrum policy task force report," in Proceedings of the Federal Communications Commission (FCC 2002), Washington, DC, USA, November 2002.
  2. J. Mitola and G. Q. Maguire, "Cognitive radio: making software radios more personal," IEEE Personal Communications, vol. 6, no. 4, pp. 13–18, 1999.
  3. J. Mitola, "The software radio architecture," IEEE Communications Magazine, pp. 26–38, May 1995.
  4. J. Mitola III, "Software radio architecture: a mathematical perspective," IEEE Journal on Selected Areas in Communication. vol. 17, no. 4, April 1999.
  5. J. Ma, G. Li, and B. H. Juang, "Signal processing in cognitive radio," Proceedings of the IEEE, vol. 97, no. 5, pp. 805 –823, may 2009.
  6. H. Urkowitz, "Energy detection of unknown deterministic signals," Proc. IEEE, vol. 55, no. 4, pp. 523–531, Apr. 1967.
  7. Haykin S. and M. Moher eds. , Modern Wireless Communications. Prentice-Hall, 2004.
  8. M. Pätzold, Mobile Fading Channel. , Article book, John Wiley & Sons, Ltd, 2002.
  9. Y. H. Zeng, Y. C. Liang, A. T. Hoang, and R. Zhang, "Review on Spectrum Sensing for Cognitive Radio: Challenges and Solutions," EURASIP Journal on Advances in Signal Processing, Volume 2010, pp. 1-15.
  10. J. G. Proakis, Digital communications. fourth ed. , McGraw-Hill, 2001.
  11. I. S. Gradshteyn and I. M. Ryzhik, Table of Integrals, Series, and Products. 7th ed. San Diego, CA: Academic, 2007.
  12. D. Tse and P. Viswanath, "Fundamentals of Wireless communication", Article book,Cambridge University Press, 2005.
  13. J. Lai and N. B. Mandayam, "Fade Margins for Minimum Duration Outages in Lognormal Shadow Fading and Rayleigh Fading", Proceedings of Asilomar, pp. 609-613, Monterrey, CA, November 1997.
  14. F. F. Digham, M. S. Alouini, and M. K. Simon, "On the energy detection of unknown signals over fading channels," Commun. , vol. 5, pp. 3575-3579, May. 2003.
  15. M. K. Simon and M-S Alouini, Digital Communication over Fading Channels, New York: Wiley, 2 edition, 2005.
  16. J. J. Lehtomaki, "The Detection and Correlation Modeling of Rayleigh Distribution Radar Signal," A Master Dissertation, Air Force Institute of Technology, University of Air, 1992. [Online] www. dtic. mil/cgi-bin/GetTRDoc?AD=ada256612.
  17. Digham,F. , M. Alouini, and M. Simon, "On the Energy Detection of Unknown Signals Over Fading Channels," IEEE Transactions on Communications, vol. 55, pp. 21-24, 2007.
  18. V. I. Kostylev, "Energy detection of a signal with random amplitude," in Proc. ICC 2002, New York, pp. 1606-1610,May 2002.
  19. D. Tse and P. Viswanath, "Fundamentals of Wireless communication", Article book,Cambridge University Press, 2005.
  20. Ashish, P. and J. P. Linnartz, "Performance analysis of primary user detection in a multiple antenna cognitive radio," IEEE International Conference on Communications, vol. 7, pp. 6482–6486, 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Real-time Implementation Cognitive Radio (CR) Energy Detection Fading Channels Square Law Combining

Powered by PhDFocusTM