@inproceedings{ca40f17e599a416dafeba755703c0ed2,
title = "Transmit Beamforming Designs for Secure Transmission in MISO-NOMA Networks",
abstract = "In this paper, we consider a downlink multiple-input single-output non-orthogonal multiple access (MISO-NOMA) network with several legitimate users and a eavesdropper using successive interference cancellation (SIC). The purpose of this paper is to maximize the secrecy performance of the MISO-NOMA network by designing the transmit power between the legitimate users and the artificial jamming. Explicitly, the secrecy sum rate of the MISO-NOMA network is to be maximized by optimizing the transmit beamforming vectors and the artificial jamming vector, subject to the required quality of service of each legitimate user, the artificial jamming beamforming design constraint and the SIC decoding condition. Due to the non-convexity of the optimization problem, we reformulate the original problem into an equivalent optimization problem and then provide a successive convex approximation based iterative algorithm for solving it. Simulation results demonstrate that the proposed optimization scheme outperforms the existing schemes.",
author = "Yanbo Zhang and Zheng Yang and Jingjing Cui and Yi Wu and Jun Zhang and Chao Fang and Zhiguo Ding",
note = "Funding Information: VI. ACKNOWLEDGMENTS This work was supported in part by NSFC U1805262, 61871131. Publisher Copyright: {\textcopyright} 2022 IEEE.; 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring ; Conference date: 19-06-2022 Through 22-06-2022",
year = "2022",
doi = "10.1109/VTC2022-Spring54318.2022.9860718",
language = "British English",
series = "IEEE Vehicular Technology Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings",
address = "United States",
}