论文标题
基于物理的大型智能反射表面的建模，以进行可扩展优化
Physics-based Modeling of Large Intelligent Reflecting Surfaces for Scalable Optimization
论文作者
论文摘要
在本文中，我们开发了一个基于物理的模型，该模型允许对大型智能反射表面（IRSS）进行可扩展优化。基本思想是将IRS单位单元单元分为几个子集，称为瓷砖，并建模每个图块对无线通道的影响。从雷达文献中借用概念，我们将每个图块建模为一种异常反射器，并通过求解电气和磁性矢量场的相应积分方程来引发其对给定单元相移的无线通道的影响。基于此模型，可以设计离线瓷砖单元单元的相移，以支持多种传输模式，然后在线选择最佳模式以进行给定的通道实现。因此，提议的模型中的图块和传输模式的数量是设计参数，可以调整为复杂性贸易绩效。
In this paper, we develop a physics-based model that allows a scalable optimization of large intelligent reflecting surfaces (IRSs). The basic idea is to partition the IRS unit cells into several subsets, referred to as tiles, and model the impact of each tile on the wireless channel. Borrowing concepts from the radar literature, we model each tile as an anomalous reflector, and derive its impact on the wireless channel for given unit cell phase shifts by solving the corresponding integral equations for the electric and magnetic vector fields. Based on this model, one can design the phase shifts of the unit cells of a tile offline for the support of several transmission modes and then select the best mode online for a given channel realization. Therefore, the number of tiles and transmission modes in the proposed model are design parameters that can be adjusted to trade performance for complexity.
