首页|IRS辅助去蜂窝大规模MIMO系统反窃听安全波束赋形研究

IRS辅助去蜂窝大规模MIMO系统反窃听安全波束赋形研究

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为提高物理层安全通信性能,针对目前物理层通信容易受到建筑物遮挡和非法用户窃听的问题,提出了一种智能反射面(intelligent reflecting surface,IRS)辅助去蜂窝大规模多输入多输出(multiple-input multiple-output,MI-MO)系统反窃听安全传输波束赋形方案.考虑信道理想的情况下,以还原合法用户接收信号和阻止非法用户接收信号为目标,最小化发射波束赋形向量,构建了一个基站主动波束赋形向量和IRS相移的联合波束赋形问题.通过交替优化将原问题分解为基站波束赋形向量优化子问题和IRS相移优化子问题,并通过解非齐次线性方程组思想的方法,对优化子问题进行求解.仿真结果表明,相较于传统物理层安全通信方案,提出的方案能够有效使非法用户窃听信号为0,降低传输功率,并且具有较好的误码率.
Research on anti-eavesdropping security beamforming for IRS-assisted cell-free massive MIMO system
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.

intelligent reflecting surfacecell-free massive MIMObeamformingphysical layer security

鲜永菊、于东方、邢智童、梁吉申、李云

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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

智能反射面 去蜂窝大规模MIMO 波束赋形 物理层安全

2024

重庆理工大学学报
重庆理工大学

重庆理工大学学报

CSTPCD北大核心
影响因子:0.567
ISSN:1674-8425
年,卷(期):2024.38(13)