Design and Optimization of Reconfigurable Intelligent Surfaces Using the PEEC Method

TL;DR

This paper addresses EM-consistent modeling of RIS-enabled wireless links using the Partial Elements Equivalent Circuit (PEEC) method to capture interactions among transmitters, RIS, and receivers. It couples PEEC with an iterative load-impedance optimization (HAS23) solved via Modified Nodal Analysis to maximize the achievable rate. The authors validate the model by comparing PEEC results with FEKO, showing accurate radiation-pattern steering. The work provides a scalable, physics-based framework that enables efficient RIS design and optimization for future wireless networks.

Abstract

The design and optimization of Reconfigurable Intelligent Surfaces (RISs) are key challenges for future wireless communication systems. RISs are devices that can manipulate electromagnetic (EM) waves in a programmable way, thus enhancing the performance and efficiency of wireless links. To achieve this goal, it is essential to have reliable EM models that can capture the behavior of RISs in different scenarios. This work demonstrates that the Partial Elements Equivalent Circuit (PEEC) method is a powerful tool for EM analysis of RIS-aided wireless links. It might also be integrated with optimization algorithms in order to optimize wireless communication networks.

Figures (2)

• Figure 1: System configuration.
• Figure 2: Normalized radiation pattern: $\phi-$plane (left); $\theta-$plane (right).