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.
@article{arxiv.2501.18583,
title = {Reducing Simulation Effort for RIS Optimization using an Efficient Far-Field Approximation},
author = {Hans-Dieter Lang and Michel A. Nyffenegger and Heinz Mathis and Xingqi Zhang},
journal= {arXiv preprint arXiv:2501.18583},
year = {2025}
}
Comments
2024 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/INC-USNC-URSI), Firenze, Italy, 2024, pp. 1585-1586