论文标题
使用IRS辅助定向调制增强安全的无线传输
Enhanced Secure Wireless Transmission Using IRS-aided Directional Modulation
论文作者
论文摘要
作为出色的辅助通信工具，智能反射表面（IRS）可以提高速度和覆盖范围。在本文中，我们介绍了有关IRS辅助定向调制（DM）网络中束脉的研究。为了充分探索IRS的优势，提出了两种具有增强保密率（SR）性能的波束形成方法。最大化保密率（MAX-SR）的第一种方法交替优化机密信息（CM）横梁成形向量，人工噪声（AN）横梁成形向量和相移矩阵。第一个优化向量是由瑞利（Rayleigh）比率直接计算的，最后两个是通过广义功率迭代（GPI）求解的。此方法称为Max-SR-GPI。为了降低计算复杂性，一种新的方法，将接收功率最大化，仅反映CM，而没有提出AN，则使用零强制约束（MAX-RP-ZFC）。仿真结果表明，在随机相关IRS和IRS的情况下，提出的两种方法收获了约30％的速率增长率，而拟议的MAX-SR-GPI在SR方面的性能略高于Max-RP-ZFC，尤其是在小型IRS中。
As an excellent aided communication tool, intelligent reflecting surface (IRS) can make a significant rate enhancement and coverage extension. In this paper, we present an investigation on beamforming in an IRS-aided directional modulation (DM) network. To fully explore the advantages of IRS, two beamforming methods with enhanced secrecy rate (SR) performance are proposed. The first method of maximizing secrecy rate (Max-SR) alternately optimizes confidential message (CM) beamforming vector, artificial noise (AN) beamforming vector and phase shift matrix. The first optimization vector is directly computed by the Rayleigh ratio and the last two are solved with generalized power iteration (GPI). This method is called Max-SR-GPI. To reduce the computational complexity, a new method of maximizing receive power with zero-forcing constraint (Max-RP-ZFC) of only reflecting CM and no AN is proposed. Simulation results show that the proposed two methods harvest about 30 percent rate gains over the cases of random-phase IRS and no IRS, and the proposed Max-SR-GPI performs slightly better than the Max-RP-ZFC in terms of SR, particularly in the small-large IRS.
