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Optimizing Spectrum Sensing for Cognitive Radio Networks to Limit Interference on Primary User

by Ramez Moh. Elaskary, Yasmine Fahmy
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 123 - Number 12
Year of Publication: 2015
Authors: Ramez Moh. Elaskary, Yasmine Fahmy
10.5120/ijca2015903658

Ramez Moh. Elaskary, Yasmine Fahmy . Optimizing Spectrum Sensing for Cognitive Radio Networks to Limit Interference on Primary User. International Journal of Computer Applications. 123, 12 ( August 2015), 1-6. DOI=10.5120/ijca2015903658

@article{ 10.5120/ijca2015903658,
author = { Ramez Moh. Elaskary, Yasmine Fahmy },
title = { Optimizing Spectrum Sensing for Cognitive Radio Networks to Limit Interference on Primary User },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 123 },
number = { 12 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume123/number12/22008-2015903658/ },
doi = { 10.5120/ijca2015903658 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:12:28.997494+05:30
%A Ramez Moh. Elaskary
%A Yasmine Fahmy
%T Optimizing Spectrum Sensing for Cognitive Radio Networks to Limit Interference on Primary User
%J International Journal of Computer Applications
%@ 0975-8887
%V 123
%N 12
%P 1-6
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Cognitive radio (CR) is an effective way to improve the utilization of spectrum resource. Spectrum sensing is playing an important role for finding free channels to be used by CR. One of the most critical issues in spectrum sensing is the interference on primary user (PU). In this work, a general optimal voting rule is studied to minimize the Bayes risk function in cooperative spectrum sensing. Furthermore, an algorithm to optimize the energy detection threshold for the CR users for any fusion rule is presented. On the other hand, an algorithm that determines the optimum fusion rule and optimum threshold that minimizes the false alarm probability while the missing probability is under constraint (bounded) is suggested.

References
  1. Federal Communications Commission, “Spectrum Policy Task Force,” Rep. ET Docket no. 02-135, Nov. 2002.
  2. M. A. McHenry, “NSF spectrum occupancy measurements project summary,” Shared Spectrum Company Report, Aug. 2005. [Online] Available: http://www.sharedspectrum.com.
  3. J. Mitola and G. Q. Maguire, “Cognitive radio: making software radios more personal,” IEEE Pers. Commun., vol. 6, pp–18, Aug. 1999.
  4. S. Haykin, “Cognitive radio: brain-empowered wireless communications,” IEEE J. Select. Areas Commun., vol. 23, pp. 201–220, Feb. 2005.
  5. I. Akyildiz, W. Lee, M. Vuran, and S. Mohanty, "NeXt generation/ dynamic spectrum access/cognitive radio wireless networks: a survey," Computer Networks 50 (13) (2006) 2127-2159.
  6. R. Tandra and A. Sahai, “SNR walls for signal detection,” IEEE J. Select. Topics in Signal Processing, vol. 2, no. 1, pp. 4 –17, Feb. 2008.
  7. D. Cabric, S. M. Mishra, and R. W. Brodersen, “Implementation issues in spectrum sensing for cognitive radios," in Proc. Asilomar Conf. Signals, Systems, Computers, Nov. 2004, vol. 1, pp. 772-776.
  8. K. B. Letaief and W. Zhang, “Cooperative communications for cognitive radio," Proc. IEEE, vol. 97, no. 5, pp. 878-893, May 2009.
  9. W. Zhang, R. Mallik, and K. Letaief, “optimization of cooperative spectrum sensing with energy detection in cognitive radio networks," IEEE Trans. Wireless Commun., vol. 8, pp. 5761-5766, Dec. 2009.
  10. F. F. Digham, M.-S. Alouini, and M. K. Simon, “On the energy detection of unknown signals over fading channels," in Conf. Rec. IEEE Int. Conf. Commun. (ICC’03), Anchorage, AK, USA, May 2003, pp. 3575-3579.
  11. F. F. Digham, M.-S. Alouini, and M. K. Simon, “On the energy detection of unknown signals over fading channels,” IEEE Transactions on Communications, vol. 55, no. 1, pp. 21–24, Jan. 2007.
  12. H.Nguyen,T.Duy,H.Kong, “An optimal cooperative spectrum sensing method in cognitive radio network over Rayleigh fading channel.
Index Terms

Computer Science
Information Sciences

Keywords

Cognitive radio cooperative spectrum sensing Bayes risk function optimization energy detector.

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