[1] Su Qian, Song TiechengHu JingShen Lianfeng,. Adaptive double-threshold energy detection algorithmfor cognitive radio [J]. Journal of Southeast University (English Edition), 2011, 27 (4): 351-356. [doi:10.3969/j.issn.1003-7985.2011.04.001]

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Adaptive double-threshold energy detection algorithmfor cognitive radio()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

27

Issue:

2011 4

Page:

351-356

Research Field:

Information and Communication Engineering

Publishing date:

2011-12-31

Info

Title:

Adaptive double-threshold energy detection algorithmfor cognitive radio

Author(s):

Su Qian;  Song TiechengHu JingShen Lianfeng

National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China

Keywords:

energy detection;  software radio;  probability of detection;  sensing time

PACS:

TN92

DOI:

10.3969/j.issn.1003-7985.2011.04.001

Abstract:

Due to the fact that the conventional spectrum sensing algorithm is susceptible to noise, an adaptive double-threshold energy detection algorithm for a cognitive radio is proposed. Based on double-threshold energy detection, the algorithm can adaptively switch between one-round sensing and two-round sensing by comparing the observations with the pre-fixed thresholds. Mathematical expressions for the probability of detection, the probability of false alarm, and the sensing time are derived. The relationships including signal to noise ratio(SNR)vs. the probability of detection and SNR vs. the sensing time are plotted using Monte Carlo simulation and the algorithm is verified in a real cognitive system based on GNU Radio and universal software radio peripheral(USRP). Simulation and experimental results show that, compared with the existing spectrum sensing method, the proposed algorithm can achieve a higher probability of detection within a reasonable sensing time.

References:

[1] Mitola J, Maguire G Q. Cognitive radio: making software radios more personal[J]. IEEE Personal Communications, 1999, 6(4): 13-18.
[2] Tian Z, Blasch E, Li Wenhua, et al. Performance evaluation of distributed compressed wideband sensing for cognitive radio networks[C]//11th International Conference on Information Fusion. Cologne, Germany, 2008: 1-8.
[3] Zhu Jiang, Xu Zhengguang, Wang Furong, et al. Double threshold energy detection of cooperative spectrum sensing in cognitive radio[C]//3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications. Singapore, 2008:1-5.
[4] Li Zhixin, Wang Hua, Kuang Jingming. A two-step spectrum sensing scheme for cognitive radio[C]//International Conference on Information Science and Technology. Nanjing, China, 2011:694-698.
[5] Xia Hongxing, Zhang Guoping, Xu Hongbo. A flexible cooperative spectrum sensing scheme for cognitive radio networks[J]. IEICE Electronics Express, 2011, 8(8):542-548.
[6] Sun Chunhua, Zhang Wei, Lataief K B. Cooperative spectrum sensing for cognitive radios under bandwidth constraints[C]//IEEE Wireless Communications and Networking Conference. Hong Kong, China, 2007:1-5.
[7] Cabric D, Tkachenko A, Brodersen R W. Experimental study of spectrum sensing based on energy detection and network cooperation[C]//Proceedings of the First International Workshop on Technology and Policy for Accessing Spectrum. New York, USA, 2006: 1234400.
[8] Kay S M. Fundamentals of statistical signal processing, vol.Ⅱ:detection theory[M]. Prentice-Hall, 1998.
[9] Ettus Research LLC. Universal software radio peripheral[EB/OL].(2011-04-01)[2011-05-16]. http://www.ettus.com.

Memo

Memo:

Biographies: Su Qian(1987—), female, graduate; Song Tiecheng(corresponding author), male, doctor, professor, songtc@seu.edu.cn.
Foundation items: The National Science and Technology Major Project(No.2010ZX03006-002-01), the National Natural Science Foundation of China(No.60972026), the Cultivation Fund of the Key Scientific and Technical Innovation Project, Ministry of Education of China(No.708046).
Citation: Su Qian, Song Tiecheng, Hu Jing, et al. Adaptive double-threshold energy detection algorithm for cognitive radio [J].Journal of Southeast University(English Edition), 2011, 27(4):351-356.[doi:10.3969/j.issn.1003-7985.2011.04.001]

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