TY - JOUR
T1 - Secure transmission via beamforming optimization for NOMA networks
AU - Cao, Yang
AU - Zhao, Nan
AU - Chen, Yunfei
AU - Jin, Minglu
AU - Ding, Zhiguo
AU - Li, Yonghui
AU - Yu, F. Richard
N1 - Funding Information:
Acknowledgments This research was supported in part by the open research fund of the State Key Laboratory of Integrated Services Networks under Grant ISN19-02,
Funding Information:
and the National Natural Science Foundation of China (NSFC) under Grant 61871065.
Publisher Copyright:
© 2002-2012 IEEE.
PY - 2020/2
Y1 - 2020/2
N2 - Owing to the eminent performance gain, non-orthogonal multiple access (NOMA) has been regarded as a promising approach to achieve high throughput and low latency for the next-generation networks. Nevertheless, potential adversaries can still pose a threat to secure transmission in NOMA systems. Hence, in this article, secure transmission schemes based on beamforming optimization are designed to combat both internal and external eavesdropping for downlink multi-input single-output NOMA networks. Using the transmit beamforming design, we first propose two schemes to protect the privacy of a specific NOMA user in the presence of untrusted users. Then, the sum secrecy rate optimization problem is studied to combat the external eavesdropper through optimizing the precoding vectors, when the channel state information (CSI) is available. In addition, two secure beamforming strategies with the help of artificial noise and inter-user interference are proposed without eavesdropping CSI, respectively. Simulation results are presented to demonstrate the effectiveness of the proposed schemes, and some open issues are discussed as well.
AB - Owing to the eminent performance gain, non-orthogonal multiple access (NOMA) has been regarded as a promising approach to achieve high throughput and low latency for the next-generation networks. Nevertheless, potential adversaries can still pose a threat to secure transmission in NOMA systems. Hence, in this article, secure transmission schemes based on beamforming optimization are designed to combat both internal and external eavesdropping for downlink multi-input single-output NOMA networks. Using the transmit beamforming design, we first propose two schemes to protect the privacy of a specific NOMA user in the presence of untrusted users. Then, the sum secrecy rate optimization problem is studied to combat the external eavesdropper through optimizing the precoding vectors, when the channel state information (CSI) is available. In addition, two secure beamforming strategies with the help of artificial noise and inter-user interference are proposed without eavesdropping CSI, respectively. Simulation results are presented to demonstrate the effectiveness of the proposed schemes, and some open issues are discussed as well.
UR - https://www.scopus.com/pages/publications/85071659708
U2 - 10.1109/MWC.001.1900159
DO - 10.1109/MWC.001.1900159
M3 - Article
AN - SCOPUS:85071659708
SN - 1536-1284
VL - 27
SP - 193
EP - 199
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
IS - 1
M1 - 8809566
ER -