Optimal cooperative energy spectrum sensing in cognitive radio network

doi:10.1007/s11460-010-0113-z

Front Elect Electr Eng Chin

2010, Vol. 5

Issue (4) : 449-455 https://doi.org/10.1007/s11460-010-0113-z

RESEARCH ARTICLE

Optimal cooperative energy spectrum sensing in cognitive radio network

Haijun WANG(

), Xin SU, Yi XU, Shidong ZHOU, Jing WANG

Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

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Abstract

Cooperative energy spectrum sensing has been proved effective to detect the spectrum holes in cognitive radio (CR). In this paper, we present the optimal energy sensing algorithm in CR network and prove its optimality through the duality theorem of Neyman-Pearson theorem. Then, the optimal energy sensing algorithm is expanded to a cooperative sensing algorithm based on channel covariance matrix. We compare the proposed algorithms with traditional cooperative sensing algorithms in terms of complexity and required transmission bits. Simulation results validate the optimality of the proposed cooperative sensing algorithm. Furthermore, it is intuitively reasonable for the sensing station to choose the sensing nodes with better channel condition to cooperate, which is verified by our analysis and simulation.

Keywords cognitive radio (CR) cooperative sensing likelihood-ratio test

Corresponding Author(s): WANG Haijun,Email:wanghj02@mails.tsinghua.edu.cn

Issue Date: 05 December 2010

Cite this article:

Haijun WANG,Xin SU,Yi XU, et al. Optimal cooperative energy spectrum sensing in cognitive radio network[J]. Front Elect Electr Eng Chin, 2010, 5(4): 449-455.

URL:

https://academic.hep.com.cn/fee/EN/10.1007/s11460-010-0113-z
https://academic.hep.com.cn/fee/EN/Y2010/V5/I4/449

Tab.1 Complexity and required transmission bits of each cooperative algorithm

Tab.2 Channel state information between the primary use and sensing nodes

Fig.1 versus with different sensing algorithms

Fig.2 versus SNR with different sensing algorithms

Fig.3 versus cooperative nodes number with different sensing algorithms

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[1]	Jun WANG, Guangguo BI. A design of multi-cycle detector for cognitive radios[J]. Front Elect Electr Eng Chin, 2011, 6(4): 501-506.
[2]	Guizhu FENG, Wei CHEN, Zhigang CAO. An efficient cooperative sensing scheme with bandwidth-limited control channel[J]. Front Elect Electr Eng Chin, 2010, 5(4): 456-463.

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