• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Robust Secure Transmit Design with Artificial Noise in the Presence of Multiple Eavesdroppers


Abstract

This paper studies secure wireless transmission from a multi-antenna transmitter to a single-antenna intended receiver overheard by multiple eavesdroppers with considering the imperfect channel state information (CSI) of wiretap channel. To enhance security of communication link, the artificial noise (AN) is generated at transmitter. We first design the robust joint optimal beamforming of secret signal and AN to minimize transmit power with constraints of security quality of service (QoS), i.e., minimum allowable signal-to-interference-and-noise ratio (SINR) at receiver and maximum tolerable SINR at eavesdroppers. The formulated design problem is shown to be nonconvex and we transfer it into linear matrix inequalities (LMIs). The semidefinite relaxation (SDR) technique is used and the approximated method is proved to solve the original problem exactly. To verify the robustness and tightness of proposed beamforming, we also provide a method to calculate the worst-case SINR at eavesdroppers for a designed transmit scheme using semidefinite programming (SDP). Additionally, the secrecy rate maximization is explored for fixed total transmit power. To tackle the nonconvexity of original formulation, we develop an iterative approach employing sequential parametric convex approximation (SPCA). The simulation results illustrate that the proposed robust transmit schemes can effectively improve the transmit performance.


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Cite this article

[IEEE Style]
X. Liu, Y. Gao, N. Sha, G. Zang and S. Wang, "Robust Secure Transmit Design with Artificial Noise in the Presence of Multiple Eavesdroppers," KSII Transactions on Internet and Information Systems, vol. 15, no. 6, pp. 2204-2224, 2021. DOI: 10.3837/tiis.2021.06.015.

[ACM Style]
Xiaochen Liu, Yuanyuan Gao, Nan Sha, Guozhen Zang, and Shijie. Wang. 2021. Robust Secure Transmit Design with Artificial Noise in the Presence of Multiple Eavesdroppers. KSII Transactions on Internet and Information Systems, 15, 6, (2021), 2204-2224. DOI: 10.3837/tiis.2021.06.015.