论文标题
实用的建模和光束形成，用于智能反射表面辅助宽带系统
Practical Modeling and Beamforming for Intelligent Reflecting Surface Aided Wideband Systems
论文作者
论文摘要
智能反射表面（IRS）已成为一种革命性的解决方案，可以通过智能改变传播环境来增强无线通信。 IRS的先前研究基于具有恒定幅度和可变相移的理想反射模型。但是，在实用应用中实施满足这种理想反思模型的IRS是困难和不现实的。在这封信中，我们旨在研究反射信号的相位振幅频率关系，并为IRS辅助的宽带系统提出一个实用的反射系数模型。然后，基于此实用模型，研究了针对IRS辅助宽带正交频率分割多路复用（OFDM）系统的每个子载波和IRS波束形成优化的关节发射功率分配。仿真结果说明了实用模型对IRS设计的重要性，并验证了我们提出的模型的有效性。
Intelligent reflecting surface (IRS) has emerged as a revolutionizing solution to enhance wireless communications by intelligently changing the propagation environment. Prior studies on IRS are based on an ideal reflection model with a constant amplitude and a variable phase shift. However, it is difficult and unrealistic to implement an IRS satisfying such ideal reflection model in practical applications. In this letter, we aim to investigate the phase-amplitude-frequency relationship of the reflected signals and propose a practical model of reflection coefficient for an IRS-aided wideband system. Then, based on this practical model, joint transmit power allocation of each subcarrier and IRS beamforming optimization are investigated for an IRS-aided wideband orthogonal frequency-division multiplexing (OFDM) system. Simulation results illustrate the importance of the practical model on the IRS designs and validate the effectiveness of our proposed model.
