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Multiport Network Modeling for Reconfigurable Intelligent Surfaces: Numerical Validation with a Full-Wave PEEC Simulator

Giuseppe Pettanice, Marco Di Renzo, Sumin Jeong, Roberto Valentini, Piergiuseppe Di Marco, Fortunato Santucci, Daniele Romano, Giulio Antonini

TL;DR

This work addresses the validation of a widely used analytical multiport RIS model by comparing it against a full-wave PEEC-based simulator for RIS-aided wireless channels, demonstrating strong agreement between the two approaches. It shows that PEEC can accurately capture EM interactions and mutual coupling in RIS-enabled links, enabling end-to-end channel analysis via $Z_{sys}$ and $H_{E2E}$. The RIS optimization component uses a block coordinate descent with closed-form updates to adjust tunable impedances, yielding substantial improvements in end-to-end channel gain $H_{E2E}$ over unoptimized terminations. Overall, the paper provides a physics-based validation framework and a scalable design workflow for RIS-driven communications.

Abstract

Reconfigurable Intelligent Surface (RIS) modeling and optimization are a crucial steps in developing the next generation of wireless communications. To this aim, the availability of accurate electromagnetic (EM) models is of paramount important for the design of RIS-assisted communication links. In this work, we validate a widely-used analytical multiport network for RISs by means of a well-established full-wave numerical method based on the Partial Elements Equivalent Circuit (PEEC) approach. Numerical results show good agreement between the two methods, thus demonstrating i) the considered multiport network model being effective and ii) the PEEC method being appropriate for EM modeling of RIS-assisted wireless links.

Multiport Network Modeling for Reconfigurable Intelligent Surfaces: Numerical Validation with a Full-Wave PEEC Simulator

TL;DR

This work addresses the validation of a widely used analytical multiport RIS model by comparing it against a full-wave PEEC-based simulator for RIS-aided wireless channels, demonstrating strong agreement between the two approaches. It shows that PEEC can accurately capture EM interactions and mutual coupling in RIS-enabled links, enabling end-to-end channel analysis via and . The RIS optimization component uses a block coordinate descent with closed-form updates to adjust tunable impedances, yielding substantial improvements in end-to-end channel gain over unoptimized terminations. Overall, the paper provides a physics-based validation framework and a scalable design workflow for RIS-driven communications.

Abstract

Reconfigurable Intelligent Surface (RIS) modeling and optimization are a crucial steps in developing the next generation of wireless communications. To this aim, the availability of accurate electromagnetic (EM) models is of paramount important for the design of RIS-assisted communication links. In this work, we validate a widely-used analytical multiport network for RISs by means of a well-established full-wave numerical method based on the Partial Elements Equivalent Circuit (PEEC) approach. Numerical results show good agreement between the two methods, thus demonstrating i) the considered multiport network model being effective and ii) the PEEC method being appropriate for EM modeling of RIS-assisted wireless links.
Paper Structure (7 sections, 4 equations, 3 figures)

This paper contains 7 sections, 4 equations, 3 figures.

Table of Contents

  1. Introduction
  2. System Model
  3. The PEEC Method
  4. Analytical Model
  5. RIS Optimization
  6. Numerical Results
  7. Conclusion

Figures (3)

  • Figure 1: System setup for a 64 elements RIS.
  • Figure 2: Channel gain with unoptimized RIS terminations.
  • Figure 3: Channel gain with optimized RIS terminations.