Artificial-Noise Aided Secure Beamforming Design for NOMA-ISAC Systems

This letter investigates the artificial-noise (AN) aided secure beamforming design for non-orthogonal multiple access empowered integrated sensing and communication systems, where the base station simultaneously senses an eavesdropper and serves legitimate users. Given sensing and security requirements, the sum rate maximization problem is formulated by jointly optimizing the beamforming vectors for AN and signals of legitimate users. Notably, this paper systematically incorporates the impacts of both imperfect eavesdropping channel state information and imperfect successive interference cancellation, thereby improving the applicability of the proposed secure beamforming scheme. Simulation results show that the proposed scheme can significantly enhance the achievable sum rate compared with existing schemes.