Improved Transmit Design for Physical Layer Security in Cognitive Radio Networks with Multiple Eavesdropper Base on Semi-definite Programming

Xie Xian-zhong; Xie Cheng-jing; Lei Wei-jia; Zhan Mei-hui

doi:10.11999/JEIT150111

Volume 37 Issue 10

Sep. 2015

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(10): 2424-2430

Xie Xian-zhong, Xie Cheng-jing, Lei Wei-jia, Zhan Mei-hui . Improved Transmit Design for Physical Layer Security in Cognitive Radio Networks with Multiple Eavesdropper Base on Semi-definite Programming[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2424-2430. doi: 10.11999/JEIT150111

Citation:

Xie Xian-zhong, Xie Cheng-jing, Lei Wei-jia, Zhan Mei-hui . Improved Transmit Design for Physical Layer Security in Cognitive Radio Networks with Multiple Eavesdropper Base on Semi-definite Programming[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2424-2430. doi: 10.11999/JEIT150111

Citation:

Xie Xian-zhong, Xie Cheng-jing, Lei Wei-jia, Zhan Mei-hui . Improved Transmit Design for Physical Layer Security in Cognitive Radio Networks with Multiple Eavesdropper Base on Semi-definite Programming[J]. Journal of Electronics & Information Technology, 2015, 37(10): 2424-2430. doi: 10.11999/JEIT150111

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Improved Transmit Design for Physical Layer Security in Cognitive Radio Networks with Multiple Eavesdropper Base on Semi-definite Programming

doi: 10.11999/JEIT150111

Funds:

The National Natural Science Foundation of China (61271259, 61471076)

Received Date: 2015-01-21
Rev Recd Date: 2015-06-02
Publish Date: 2015-10-19

Abstract

Abstract

In the Cognitive Radio Network (CRN) with multiple multi-antenna eavesdroppers, to make the system security rate maximum, secure communication over the physical layer that is subjected to the interference power constraints at the Primary Users (PU) is provided by designing the transmit covariance optimization of Secondary User Transmitter (SU-Tx).When?the?Channel State?Information (CSI) is known, the properties of the matrices and Charnes-Cooper transformation are used, the non-convex function is converted to a Semi-Definite Programming (SDP) to get the optimization scheme of SU-Tx. Simulation results show that compared with the existing sub-optimal transmission designs, the proposed method improves the secrecy rate and has more advantages on the complexity.
- Cognitive Radio Network(CRN),
- Physical-layer security,
- Transmission covariance matrix,
- Multiple eavesdroppers,
- Semi-Definite Programming(SDP)

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References(22)

References

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