A Modified Energy Detection Algorithm Based on Primary User Activity for Cognitive Radio Networks

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Abstract:

Spectrum sensing is used to identify the unused frequency bands and as such plays a key role in dynamic spectrum access. In most of the existing spectrum sensing models, the channel state of primary user is assumed unchanged within the spectrum sensing duration, which is not suitable for the channels with high activity, in which the primary user accesses or vacates from the channel frequently. In this paper, a Modified Energy Detection (MED) algorithm is proposed for this scenarios by considering the primary user activity within the spectrum sensing duration. Theory analysis and computer simulation results show that both the probability of detection and false alarm in this scenarios have been improved with our MED.

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1351-1354

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April 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. Mitola, IEEE Pers. Commun., vol. 6, no. 4, p.48–52, Aug. (1999).

Google Scholar

[2] Federal Communications Commission, Spectrum policy task force report, FCC 02-155, Nov. (2002).

Google Scholar

[3] D. Cabric, S. M. Mishra, and R. Brodersen, Implementation issues in spectrum sensing for cognitive radios, in Proc. 38th Asilomar Conf. Signals, Syst. Comput., Pacific Grove, CA, vol. 1, p.772–776, Nov. (2004).

DOI: 10.1109/acssc.2004.1399240

Google Scholar

[4] T. Yucek and H. Arslan, IEEE Trans. Wireless Commun., vol. 11, no. 1, p.116–130, First quarter (2009).

Google Scholar

[5] H. Urkowitz. Energy detection of unknown deterministic signals,. Proceedings of the IEEE, vol. 55, p.523–531, April (1967).

DOI: 10.1109/proc.1967.5573

Google Scholar

[6] Y. -C. Liang, Y. Zeng, E. Peh, and A.T. Hoang, IEEE Trans. Wireless Comm., vol. 7, no. 4, pp.1326-1337, April (2008).

Google Scholar

[7] A. Papoulis and S. U. Pillai, Probability, Random Variables and Stocastic Processes, 4th ed. New York: McGraw-Hill, (2002).

Google Scholar

[8] W. Lee, I. F. Akyildiz, IEEE Trans. Wireless Comm., vol. 7, no. 10, pp.3845-3857, October (2008).

Google Scholar