DDM-Based Accurate and Efficient RIS Modeling for Over-the-Air Mutual Coupling Analysis and Comparison vs Macromodeling
Journal article, 2026

Existing modeling approaches for reconfigurable intelligent surfaces (RISs)—including scalar approximations, boundary-condition-based formulations, and conventional full-wave solvers—either lack accuracy in capturing aperiodic interactions or become computationally prohibitive for electrically large, multi-scale structures. To address these limitations at least for a certain class of RISs, which are composed of open-cavity-based meta-atoms, this paper presents a rigorous and computationally efficient hybrid domain decomposition method (H-DDM). The method decomposes each meta-atom into interior and exterior subproblems, enabling fast and accurate modeling of over-the-air mutual coupling effects while preserving microscopic field behavior. The proposed H-DDM is cross-validated against CST full-wave solvers and compared against two widely used approximate methods: macromodeling (MM) and the element-in-array-pattern (EIAP) technique. Using RIS panels of varying sizes which are beamformed to have a non-specular reflection under a normal plane wave incidence, we demonstrate that H-DDM achieves very good agreement with full-wave reference solutions, while MM and EIAP exhibit increasing deviations in sidelobe regions due to their inherent assumptions. The results confirm that H-DDM provides a powerful and reliable tool for analyzing open-cavity based RIS panels and offers a promising pathway toward fast, high-fidelity EM modeling of next-generation beamforming metasurfaces.

Chalmers University of Technology

Sweden

Department of Electrical Engineering

Gothenburg

Author

Morteza Ghaderi Aram

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Tommy Svensson

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Fitim Maxharraj

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

Rob Maaskant

Chalmers, Electrical Engineering, Communication, Antennas and Optical Networks

IEEE Open Journal of Antennas and Propagation

26376431 (eISSN)

Vol. In Press

Subject Categories (SSIF 2025)

Communication Systems

Telecommunications

Signal Processing

DOI

10.1109/OJAP.2026.3695418

More information

Latest update

6/2/2026 1