认知无线电网络中的最佳可信度频谱检测算法

doi:10.3969/j.issn.1001-2400.2011.05.013

Abstract

Abstract:

The current cooperative spectrum sensing algorithm with typical hard decisions in cognitive radio networks can not improve sensing capability efficiently due to allocating the same weight to secondary users' decisions in data fusion. To solve the problem, this paper proposes a cooperative spectrum sensing algorithm based on sensing credibility (SC-CSS). It gets secondary users' sensing credibility from their average received SNRs, integrates both their independent decisions and sensing credibility to fuse data, and makes a final sensing decision to improve sensing capability. Simulation results show that compared to the cooperative spectrum sensing algorithm with typical hard decisions, SC-CSS has a better receiver characteristic curve (ROC) and can achieve a lower detection error probability by suitably selecting the detecting threshold for secondary users for a low SNR.

Key words: cognitive radio networks, spectrum sensing, cooperative spectrum sensing, sensing credibility

CLC Number:

XIAO Lin;LIU Kai. Optimal credibility spectrum sensing algorithm in cognitive radio networks[J].J4, 2011, 38(5): 79-84.

References

［1］ Federal Communications Commission. Spectrum Policy Take Force Report［R/OL］. ［2002-12-01］. http://www.fcc.gov/sptf/head/ines 2002.html.
［2］ Quan Zhi, Cui Shuguang, Poor H V, et al. Collaborative Wideband Sensing for Cognitive Radios［J］. IEEE Signal Processing Magazine, 2008, 25(6): 60-73.
［3］ Yucek T, Arslan H. A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications［J］. IEEE Communication Surveys ＆ Tutorials, 2009, 11(1): 116-130.
［4］ Ma Jun, Zhao Guodong, Li Ye. Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks［J］. IEEE Trans on Wireless Communications, 2008, 7(11): 4502-4507.
［5］ Duan D, Yang L, Principe J C. Cooperative Diversity of Spectrum Sensing for Cognitive Radio Systems［J］. IEEE Trans on Signal Processing, 2010, 58(6): 3218-3227.
［6］ Peh E, Liang Y C. Optimization for Cooperative Sensing in Cognitive Radio Networks［C］//IEEE WCNC. Hong Kong: IEEE Press, 2007: 27-32.
［7］ Zhang Wei, Mallik R K, Letaief K B. Cooperative Spectrum Sensing Optimization in Cognitive Radio Networks［C］//IEEE ICC. Beijing: IEEE Press, 2008: 3411-3415.
［8］ Peng Qihang, Zeng Kun, Wang Jun, et al. A Distributed Spectrum Sensing Scheme Based on Credibility and Evidence Theory in Cognitive Radio Context［C］//IEEE PIMRC. Helsinki: IEEE Press, 2006: 1-5.
［9］ Nhan N T, Koo I. An Enhanced Cooperative Spectrum Sensing Scheme Based on Evidence Theory and Reliability Source Evaluation in Cognitive Radio Contex ［J］. IEEE Communications Letters, 2009, 13(7): 492-494.
［10］ Quan Zhi, Cui Shuguang, Sayed A H. Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks［J］. IEEE Journal of Selected Topics in Signal Processing, 2008, 2(1): 28-40.

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Optimal credibility spectrum sensing algorithm in cognitive radio networks

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