Robust and Secure Communications in Intelligent Reflecting Surface Assisted NOMA Networks

被引：99

作者：

Zhang, Zheng ^{[1
]}

Lv, Lu ^{[1
,2
]}

Wu, Qingqing ^{[3
]}

Deng, Hao ^{[4
]}

Chen, Jian ^{[1
]}

机构：

[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Peoples R China

[2] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China

[3] Univ Macau, State Key Lab Internet Things Smart City, Macau 999078, Peoples R China

[4] Henan Univ, Sch Phys & Elect, Kaifeng 475001, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2021年 / 25卷 / 03期

基金：

中国国家自然科学基金; 中国博士后科学基金;

关键词：

NOMA; Array signal processing; Optimization; Eavesdropping; Decoding; Channel estimation; Silicon carbide; Intelligent reflecting surface; non-orthogonal multiple access; physical layer security; robust beamforming;

D O I：

10.1109/LCOMM.2020.3039811

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

This letter investigates secure transmission in an intelligent reflecting surface (IRS) assisted non-orthogonal multiple access (NOMA) network. Consider a practical eavesdropping scenario with imperfect channel state information of the eavesdropper, we propose a robust beamforming scheme using artificial noise to guarantee secure NOMA transmission with the IRS. A joint transmit beamforming and IRS phase shift optimization problem is formulated to minimize the transmit power. Since the problem is non-convex and challenging to resolve, we develop an effective alternating optimization (AO) algorithm to obtain stationary point solutions. Simulation results validate the security advantage of the robust beamforming scheme and the effectiveness of the AO algorithm.

引用

页码：739 / 743

页数：5

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