IRS-Aided Secure MISO-NOMA Networks Towards Internal and External Eavesdropping

被引：3
作者：
Han, Hui [1 ,2 ]
Cao, Yang [1 ,2 ]
Sheng, Min [2 ]
Liu, Junyu [2 ]
Zhao, Nan [1 ,2 ]
Niyato, Dusit [3 ]
机构：
[1] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian 116024, Peoples R China
[2] Xidian Univ, State Key Lab ISN, Xian 710071, Peoples R China
[3] Nanyang Technol Univ, Sch Comp Sci & Engn, Singapore, Singapore
来源：
2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022) | 2022年
基金：
国家重点研发计划;
关键词：
Artificial jamming; intelligent reflecting surface; non-orthogonal multiple access; physical layer security; SURFACE ASSISTED NOMA; INTELLIGENT; COMMUNICATION; ROBUST;
D O I：
10.1109/GLOBECOM48099.2022.10000742
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Intelligent reflecting surface (IRS) is a promising technology which can be integrated with non-orthogonal multiple access (NOMA) to improve the secrecy performance. In this paper, we propose an effective IRS-aided secure scheme for NOMA networks against both internal and external eavesdropping. By exploiting artificial jamming (AJ), the transmit power minimization problem of legitimate signals is investigated with both users' QoS demands satisfied via the joint optimization of active and passive beamforming. The non-convex problem is decomposed into two subproblems, which are approximated into convex ones via the semidefinite relaxation (SDR). Then, by means of alternating optimization, the suboptimal solution to the original problem can be obtained. Simulation results demonstrate the superiority of the proposed scheme by combining IRS and AJ against the challenging internal and external eavesdropping.
引用
收藏
页码：4364 / 4370
页数：7
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