计算机工程与设计2024,Vol.45Issue(10) :2897-2904.DOI:10.16208/j.issn1000-7024.2024.10.003

基于IRS辅助的NOMA系统抗内部窃听的安全设计

Security design of NOMA system against internal near-end eavesdropping based on IRS

贺鑫锐 吉小鹏 陈妍秋
计算机工程与设计2024,Vol.45Issue(10) :2897-2904.DOI:10.16208/j.issn1000-7024.2024.10.003

基于IRS辅助的NOMA系统抗内部窃听的安全设计

Security design of NOMA system against internal near-end eavesdropping based on IRS

贺鑫锐 1吉小鹏 1陈妍秋1
扫码查看

作者信息

  • 1. 南京信息工程大学电子与信息工程学院,江苏南京 210044
  • 折叠

摘要

针对NOMA系统的物理层安全性开展研究,考虑IRS协助的单用户簇NOMA系统模型下,不受信任的内部近端用户尝试窃取远端用户的信息的场景,提出一种基于IRS和人工噪声辅助的对抗内部窃听的安全传输方案,提高系统的保密速率,降低保密通信中断概率.提出一种联合波束成形、IRS反射相位和功率分配系数的交替优化算法.通过数值仿真分析验证了算法的有效性,提高了系统的保密性能.

Abstract

The study on the physical layer security of NOMA system considers the worst case of eavesdropping under the IRS-assisted single-user cluster NOMA system model,that is,the untrusted internal near-end user tries to steal the information of the far-end user.For single-user cluster NOMA systems,a secure transmission scheme against internal eavesdropping based on IRS and artificial noise was proposed,which effectively improved the system's secrecy rate and reduced the probability of secure communication interruption.And an alternating optimization algorithm for joint beamforming,IRS reflection phase,and power allocation coefficients was proposed.The effectiveness of the algorithm is demonstrated through numerical simulation analysis,which improves the system's secrecy performance.

关键词

智能反射面/非正交多址/人工噪声/物理层安全/内部窃听/优化算法/保密通信

Key words

IRS/NOMA/artificial noise/physical layer security/internal eavesdropper/optimization algorithm/secure commu-nication

引用本文复制引用

基金项目

国家自然科学基金项目(62072250)

国家重点研发计划基金项目(2021QY0700)

南京信息工程大学引进人才科研启动经费基金项目(2021r039)

出版年

2024
计算机工程与设计
中国航天科工集团二院706所

计算机工程与设计

CSTPCD北大核心
影响因子:0.617
ISSN:1000-7024
段落导航相关论文