论文标题
通过智能反射表面保护MIMO传输
Secure MIMO Transmission via Intelligent Reflecting Surface
论文作者
论文摘要
在这封信中，我们考虑了一个智能反射表面（IRS）辅助Guassian多输入多输出（MIMO）窃听通道，在该通道中，在有多个Antenna EavesDropper的情况下，多端antenna发射器与多端纳纳接收器通信。为了最大化此通道的保密率，提出了交替优化（AO）算法，以共同优化发射机处的传输协方差r，并通过将另一个固定为常数来优化IRS的相移系数Q。 Q固定后，使用现有的数值算法来搜索全局最佳R。当r固定R时，应用了三个成功近似替代的替代下限的目标函数，并提出了次要算法（MM）算法来优化局部最佳Q。已提供了局部最佳Q。用于验证拟议AO拟议AO ALGORITHM ALGORITHM的仿真结果。
In this letter, we consider an intelligent reflecting surface (IRS) assisted Guassian multiple-input multiple-output (MIMO) wiretap channel in which a multi-antenna transmitter communicates with a multi-antenna receiver in the presence of a multi-antenna eavesdropper. To maximize the secrecy rate of this channel, an alternating optimization (AO) algorithm is proposed to jointly optimize the transmit covariance R at transmitter and phase shift coefficient Q at IRS by fixing the other as a constant. When Q is fixed, existing numerical algorithm is used to search for global optimal R. When R is fixed, three sucessive approximation to the objective function to surrogate lower bound is applied and minorization-maximization (MM) algorithm is proposed to optimize the local optimal Q. Simulation results have be provided to validate the convergence and performance of the proposed AO algorithm.
