Secure Precoding Optimization with Limited Channel Information in a Multi-Eavesdropper Environment 


Vol. 51,  No. 3, pp. 661-664, Mar.  2026
10.7840/kics.2026.51.3.661


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  Abstract

This paper proposes a novel framework for the joint optimization of the secure precoder and artificial noise (AN) to maximize the sum secrecy rate with partial channel state information at the transmitter (CSIT) against multiple eavesdroppers. To exploit the partial CSIT, we first approximate ergodic rates and then reformulate the intractable and non-convex problem into a tractable nonlinear eigenvalue problem (NEP). Leveraging this structure, we develop a algorithm using generalized power iteration (GPI) that computes the superior stationary point. We further extend the proposed framework to a colluding eavesdropper scenario. Simulations validate our framework's superior performance, enhancing the sum secrecy rate for both colluding and non-colluding eavesdropper scenarios.

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[IEEE Style]

E. Choi and J. Choi, "Secure Precoding Optimization with Limited Channel Information in a Multi-Eavesdropper Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 3, pp. 661-664, 2026. DOI: 10.7840/kics.2026.51.3.661.

[ACM Style]

Eunsung Choi and Jinseok Choi. 2026. Secure Precoding Optimization with Limited Channel Information in a Multi-Eavesdropper Environment. The Journal of Korean Institute of Communications and Information Sciences, 51, 3, (2026), 661-664. DOI: 10.7840/kics.2026.51.3.661.

[KICS Style]

Eunsung Choi and Jinseok Choi, "Secure Precoding Optimization with Limited Channel Information in a Multi-Eavesdropper Environment," The Journal of Korean Institute of Communications and Information Sciences, vol. 51, no. 3, pp. 661-664, 3. 2026. (https://doi.org/10.7840/kics.2026.51.3.661)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880