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An Anti-Eavesdropping Strategy for Precoding-Aided Spatial Modulation With Rough CSI of Eve

Xia, Guiyang, Lin, Yan, Shu, Feng, Wu, Yongpeng, Wang, Jiangzhou (2019) An Anti-Eavesdropping Strategy for Precoding-Aided Spatial Modulation With Rough CSI of Eve. IEEE Transactions on Vehicular Technology, 69 (2). pp. 2343-2347. ISSN 0018-9545. (doi:10.1109/TVT.2019.2962794) (KAR id:80543)

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In this paper, an anti-eavesdropping strategy is proposed for secure precoding-aided spatial modulation networks, under the assumption that the rough channel state information of eavesdropper can be obtained at the transmitter. Traditionally, artificial noise (AN) can be always projected into the null-space of the legitimate channel, however it may lead to some security loss since this strategy dispenses with a holistic consideration for secure transmissions. To reduce the computational complexity of our optimization problem, we derive a closed-form expression that is a loose bound of the approximate rate over the illegitimate channel. Then a concave maximization problem is formulated for optimizing the covariance matrix of AN. Simulation results show that our proposed low-complexity scheme performs closely to the method which directly maximizes the approximate secrecy rate expression, and harvests significant secrecy rate gains compared with the traditional null-space projection benchmark.

Item Type: Article
DOI/Identification number: 10.1109/TVT.2019.2962794
Uncontrolled keywords: Spatial modulation, precoding-aided, artificial noise, secure transmission, finite-alphabet inputs
Subjects: Q Science
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Jiangzhou Wang
Date Deposited: 18 Mar 2020 16:48 UTC
Last Modified: 08 Dec 2022 22:17 UTC
Resource URI: (The current URI for this page, for reference purposes)
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