A Cyclostationarity-Based Spectrum Sensing Scheme for Dynamic Traffic Circumstances

Abstract:

In this paper, we propose a cyclostationarity-based spectrum sensing scheme for dynamic traffic circumstances. First, we model the spectrum sensing problem in dynamic traffic circumstances as a binary hypothesis testing problem where primary users (PUs) might randomly depart or arrive during the sensing period. Then, we develop a generalized likelihood ratio (GLR) and derive a test statistic via the GLR, which is based on the cyclostationarity of the PU signals. Numerical results confirm that the proposed scheme offers a better spectrum sensing performance than the conventional scheme based on energy detection for dynamic traffic circumstances.

• Periodical: Applied Mechanics and Materials (Volumes 479-480)
• Pages: 778-782
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.479-480.778
• Online since: December 2013
• Authors: Youngseok Lee, Seong Ro Lee, Seungsoo Yoo, Jaewoo Lee, Jeongyoon Shim, Seok Ho Yoon
• Keywords: Cognitive Radio (CR), Dynamic Traffic Circumstances, Spectrum Sensing

References

[1] J. Mitola: Ph.D. dissertation, Teleinformatics, Royal Institute of Technology (KTH), Stockholm, Sweden (2000).

[2] J. Lunden, S.A. Kassam and V. Koivunen: IEEE Trans. Signal Process., Vol. 58 (2010) pp.38-52.

[3] D. Cabric, S.M. Mishra and R.W. Brodersen: Proceedings of Asilomar Conf. Signals, Systems and Computers, Vol. 1 (2004), pp.772-776.

[4] T.S. Shehata and M. El-Tanany: Proceedings of Canadian Workshop on Information Theory, (2009), pp.95-98.

[5] T. Wang, Y. Chen, E.L. Hines and B. Zhao: Proceedings of Chinacom, (2009), pp.1-5.

[6] N.C. Beaulieu and Y. Chen: IEEE Signal Process. Lett., Vol. 17 (2010), pp.867-870.

[7] W.A. Gardner: IEEE Signal Process. Magazine, Vol. 8 (1991), pp.14-36.

[8] P.Z. Peebles Jr.: Probability, Random Variables and Random Signal Principles (McGraw-Hill, United States 2001).