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arXiv · 2501.18583

Reducing Simulation Effort for RIS Optimization using an Efficient Far-Field Approximation

Hans-Dieter Lang·Michel A. Nyffenegger·Heinz Mathis·Xingqi Zhang
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Abstract

Optimization of Reconfigurable Intelligent Surfaces (RIS) via a previously introduced method is effective, but time-consuming, because multiport impedance or scatter matrices are required for each transmitter and receiver position, which generally must be obtained through full-wave simulation. Herein, a simple and efficient far-field approximation is introduced, to extrapolate scatter matrices for arbitrary receiver and transmitter positions from only a single simulation while still maintaining high accuracy suitable for optimization purposes. This is demonstrated through comparisons of the optimized capacitance values and further supported by empirical measurements.

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Hans-Dieter Lang, Michel A. Nyffenegger, Heinz Mathis, Xingqi Zhang. 2025-01-30. Reducing Simulation Effort for RIS Optimization using an Efficient Far-Field Approximation. https://doi.org/10.1109/ap-s/inc-usnc-ursi52054.2024.10687003

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