CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 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

Improved Spectrum Sensing Technique using Multiple Energy Detectors for Cognitive Radio Networks

by Ashish Bagwari, Geetam Singh Tomar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 62 - Number 4
Year of Publication: 2013
Authors: Ashish Bagwari, Geetam Singh Tomar
10.5120/10067-4666

Ashish Bagwari, Geetam Singh Tomar . Improved Spectrum Sensing Technique using Multiple Energy Detectors for Cognitive Radio Networks. International Journal of Computer Applications. 62, 4 ( January 2013), 11-21. DOI=10.5120/10067-4666

@article{ 10.5120/10067-4666,
author = { Ashish Bagwari, Geetam Singh Tomar },
title = { Improved Spectrum Sensing Technique using Multiple Energy Detectors for Cognitive Radio Networks },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 62 },
number = { 4 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 11-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume62/number4/10067-4666/ },
doi = { 10.5120/10067-4666 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:10:46.255463+05:30
%A Ashish Bagwari
%A Geetam Singh Tomar
%T Improved Spectrum Sensing Technique using Multiple Energy Detectors for Cognitive Radio Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 62
%N 4
%P 11-21
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cognitive radio is an enabling technology to solve the spectrum scarcity problem in wireless communication. This is based on the concept of opportunistic spectrum access. Spectrum sensing is one of the most important functions in cognitive radio (CR) implementation. In this paper, we propose a multiple energy detectors (MED) based scheme with improved detection performance at low signal to noise ratio (SNR). We consider a framework of CR networks in which each CR node is equipped with MEDs and each energy detector with single antenna. An analytical model is developed for performance evaluation in terms of probability of false alarm Pf, and probability of detection Pd. Numerical results obtained in Rayleigh fading channel show that the proposed scheme performs better as compared to conventional energy detector (ED). The proposed scheme is further extended for cooperative detection, which further yield better detection performance. Optimal number of CR users involved in cooperative spectrum sensing is also investigated to reduce overheads and system complexity.

References
  1. Federal Communications Commission, "Notice of proposed rule making and order: Facilitating opportunities for flexible, efficient, and reliable spectrum use employing cognitive radio technologies," ET Docket No. 03-108, Feb. 2005.
  2. Federal Communications Commission (FCC), 2002. "Spectrum Policy Task Force," Report, pp: 2-37.
  3. Federal Communications Commission (FCC), 2003. "FCC 03-322,"
  4. Haykin, S. 2005. Cognitive radio: brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications 23(2): 201 - 220.
  5. I. F. Akyildiz, W. -Y. Lee, M. C. Vuran, and S. Mohanty, "Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey," Comput. Netw. , vol. 50, pp. 2127–2159, May 2006.
  6. Mitola, J. and G. Q. Maguire, 1999. "Cognitive Radio: Making Software Radios More Personal," IEEE Personal Communication Magazine, 6(4): 13-18.
  7. McHenry and McCloskey, 2005. "Spectrum Occupancy Measurements, Shared Spectrum Company Report".
  8. Ali Gorcin and Bhaskar Thiagarajan, 2007. "A Signal Identification Application for Cognitive radio", SDR Forum Technical Conference.
  9. Ashish Bagwari, and Brahmjit Singh, "Comparative performance evaluation of Spectrum Sensing Techniques for Cognitive Radio Networks," 2012 Fourth IEEE International Conference on Computational Intelligence and Communication Networks (CICN-2012), pp. 98-105.
  10. Miguel López-Benítez, and Fernando Casadevall, "Improved Energy Detection Spectrum Sensing for Cognitive Radio," In IET Communications, vol. 6, Issue 8, pp. 785-796, 09 July 2012.
  11. Refik Fatik Ustok and Berna Ozbek, "Spectrum Sensing based on Energy Detection for Cognitive Radio Systems with Multiple Antennas," IEEE 17th Signal Processing and Communications Applications Conference, pp. 396-399, 2009.
  12. G. Ganesan and Y. Li, "Agility improvement through cooperative diversity in cognitive radio," in Proc. IEEE Global Telecomm. Conf. (Globecom), vol. 5, St. Louis, Missouri, USA, Nov. /Dec. 2005, pp. 2505–2509.
  13. Ghurumuruhan Ganesan and Ye (Geoffrey) Li, "Cooperative spectrum sensing in cognitive radio networks," in Proc. IEEE Int. Symposium on New Frontiers in Dynamic Spectrum Access Networks, Baltimore, Maryland, USA, Nov. 2005, pp. 137–143.
  14. D. Cabric, A. Tkachenko, and R. Brodersen, "Spectrum sensing measurements of pilot, energy, and collaborative detection," in Proc. IEEE Military Commun. Conf. , Washington, D. C. , USA, Oct. 2006, pp. 1–7.
  15. G. Ganesan and Y. Li, "Cooperative spectrum sensing in cognitive radio, Part II: multiuser networks," IEEE Trans. on Wireless Commun. , vol. 6, pp. 2214-2222, June 2007.
  16. Z. Quan, S. Cui, and A. H. Sayed, "Optimal linear cooperation for spectrum sensing in cognitive radio networks," IEEE J. Sel. Topics in Sig. Proc. , vol. 2, no. 1, pp. 28-40, Feb. 2008.
  17. Lu Lu*, Xiangwei Zhou, Uzoma Onunkwo and Geoffrey Ye Li, "Ten years of research in spectrum sensing and sharing in cognitive radio," In EURASIP Journal on Wireless Communications and Networking, pp. 1-16, Jan. 2012.
  18. J. Unnikrishnan and V. V. Veeravalli, "Cooperative sensing for primary detection in cognitive radio," IEEE J. Sel. Topics in Sig. Proc. , vol. 2, no. 1, pp. 18-27, Feb. 2008.
  19. Fadel F. Digham, Member, IEEE, Mohamed-Slim Alouini, Senior Member, IEEE, and Marvin K. Simon, Fellow, IEEE. "On the Energy Detection of Unknown Signals Over Fading Channels", IEEE TRANSACTIONS ON COMMUNICATIONS, vol. 55, NO. 1, JANUARY 2007, pp. 21-24.
  20. Tevfik Y¨ucek and H¨useyin Arslan, "A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications," IEEE Communications Survey & Tttorials, vol. 11, no. 1, pp. 116-130, FIRST QUARTER 2009.
  21. Digham, F. , M. Alouini, and M. Simon. 2003. On the energy detection of unknown signals over fading channels. Proc. IEEE Int. Conf. on Communications. 5: 3575-3579.
  22. Wei Zhang, Rajan K. Mallik, and Khaled Ben Letaief, "Optimization of cooperative spectrum sensing with Energy detection in Cognitive Radio Networks," IEEE Transaction on wireless communications, vol. 8, No. 12, December 2009.
  23. Yulong Zou,Yu-Dong Yao, and Baoyu Zheng, "A selective-relay based cooperative spectrum sensing scheme without dedicated reporting channels in cognitive radio networks Energy detection of unknown deterministic signals," In IEEE Transaction on wireless communications, vol. 10, no. 4, pp. 1188-1198, Apr. 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Spectrum Sensing MED Cooperative Spectrum Sensing ED CR

Powered by PhDFocusTM