A Dynamic Threshold Optimization Algorithm for Spectrum Sensing with Energy Detection in Cognitive Radio

Abstract:

In order to improve an efficiency of energy detection for a spectrum sensing in cognitive radio (CR), this paper proposes a dynamic threshold optimization algorithm. The traditional energy detection algorithm uses a fixed threshold, and can't guarantee always the optimal sensing performance in any environment. The improvement for sensing performance need to minimize the undetected probability and the probability of false alarm, and it is dissimilar for different CR users to accept these two errors. We improve the traditional energy detection algorithm, and firstly introduce a preference factor to characterize CR users’ different requirements for these two errors, then, propose a dynamic threshold optimization algorithm by minimizing integrated detection error for different signal-to-noise ratio (SNR). The simulation results show that the proposed algorithm effectively reduces the integrated spectrum sensing error, and increases the probability of detection, especially in low SNR.

• Periodical: Applied Mechanics and Materials (Volumes 236-237)
• Pages: 917-922
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.236-237.917
• Online since: November 2012
• Authors: Wei Ran Wang, Shu Bin Wang, Xin Yan Zhao
• Keywords: Cognitive Radio (CR), Dynamic Threshold Optimization, Energy Detection, Integrated Spectrum Sensing Error

References

[1] K. C. Chen, P. Y. Chen, N. Prasad, Y. C. Liang and S. Sun, Trusted cognitive radio networking, Wirel. Commun. Mob. Com. 10 ( 2010) 467-485.

[2] H. S. Chen, W. Gao and D. G. Dault, Signature based spectrum sensing algorithms for IEEE. 802. 22 WRAN, Proc. IEEE International Conference on Communications (2007) 6487-6492.

DOI: 10.1109/icc.2007.1073

[3] R. G. Spencer, Equivalence of the time-domain matched filter and the spectral-domain matched filter in one-dimensional NMR spectroscopy, Concepts in Magnetic Resonance, 36A (2010) 255-265.

DOI: 10.1002/cmr.a.20162

[4] Y. P. Lin, C. He, L. G. Jiang and D. He, A spectrum sensing method in cognitive radio based on the third order cyclic cumulant, Proc. International Conference on Wireless Communication and Signal Processing (2009) 1-5.

DOI: 10.1109/wcsp.2009.5371428

[5] W. J. Yue and B. Y. Zheng, Spectrum sensing algorithms for primary detection based on reliability in cognitive radio systems, Computers and Electrical Engineering, 36 (2010) 469-479.

DOI: 10.1016/j.compeleceng.2009.12.001

[6] M. Wei and Q. S. Lian, Spectrum sensing algorithm based on optimal threshold, J. of Yanshan University 35 (2011) 157-161. (In Chinese).

[7] D. C. Oh and Y. H. Lee, Energy detection based spectrum sensing for sensing error minimization in cognitive radio networks, Intern. J. Commun. Netw. Inform. Secur. 1 (2009) 1-5.

[8] Z. Quan, S. G. Cui, and A. H. Sayed, Optimal linear cooperation for spectrum sensing in cognitive radio networks, IEEE J. Sel. Top. Signal Proces. (2008) 28-40.

DOI: 10.1109/jstsp.2007.914882