重庆理工大学学报2024，Vol.38Issue(13)：133-141,9.DOI:10.3969/j.issn.1674-8425(z).2024.07.017
IRS辅助去蜂窝大规模MIMO系统反窃听安全波束赋形研究
Research on anti-eavesdropping security beamforming for IRS-assisted cell-free massive MIMO system
鲜永菊 1于东方 1邢智童 1梁吉申 2李云1
作者信息
- 1. 重庆邮电大学 通信与信息工程学院,重庆 400065
- 2. 重庆邮电大学 通信与信息工程学院,重庆 400065||中国人民解放军陆军工程大学通信士官学校,重庆 400035
- 折叠
摘要
Abstract
Currently,the physical layer communication is easily blocked by buildings and eavesdropped by illegal users.To improve the secure communication performance of the physical layer,this paper proposes an Intelligent Reflecting Surface(IRS)to assist in cell-free massive Multiple-Input Multiple-Output(MIMO)system anti-eavesdropping secure transmission beamforming scheme.With the ideal channels,to restore the signal received by legitimate users,prevent the signal received by illegal users,and minimize the transmission beamforming vector,a joint beamforming problem of base station active beamforming vector and IRS phase shift is built.The original problem is decomposed into the base station beamforming vector optimization sub-problem and the IRS phase shift optimization sub-problem through alternating optimization,and the optimization sub-problem is addressed through the method of solving non-homogeneous linear equations.Our simulation results show the proposed scheme effectively eradicates the eavesdropping signals of illegal users,reduces the transmission power,and achieves a superior bit error rate(BER)compared with the traditional physical layer secure communication scheme.关键词
智能反射面/去蜂窝大规模MIMO/波束赋形/物理层安全Key words
intelligent reflecting surface/cell-free massive MIMO/beamforming/physical layer security分类
信息技术与安全科学引用本文复制引用
鲜永菊,于东方,邢智童,梁吉申,李云..IRS辅助去蜂窝大规模MIMO系统反窃听安全波束赋形研究[J].重庆理工大学学报,2024,38(13):133-141,9.
