Experimental Multiport-Network Parameter Estimation and Optimization for Multi-Bit RIS

Physics-consistent theoretical studies on RIS-parametrized wireless channels use models from multiport-network theory (MNT) to capture mutual-coupling (MC) effects. However, in practice, RIS design and radio environment are partially or completely unknown. We fill a research gap on how to estimate the MNT model parameters in such experimentally relevant scenarios. Our technique efficiently combines closed-form and gradient-descent steps, and it can be applied to multi-bit-programmable RIS elements. We discuss inevitable (but operationally irrelevant) parameter ambiguities. We experimentally validate our technique in an unknown rich-scattering environment parametrized by eight 6-bit-programmable RIS elements of unknown design. We experimentally evaluate the performance of RIS configurations optimized with the estimated MNT model and an MC-unaware cascaded model. While the models differ in accuracy by up to 17 dB, the end-to-end performance differences are small.

Authors

Institutions

Publication Details

Journal
IEEE Wireless Communications Letters
Published
2025-11-12
DOI
https://doi.org/10.1109/lwc.2025.3631881
Citations
4
Primary Topic
Wireless Networks and Protocols
Type
article
Field-Weighted Citation Impact
5.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Experimental Multiport-Network Parameter Estimation and Optimization for Multi-Bit RIS

Philipp del Hougne
4 citations
IEEE Wireless Communications Letters
Wireless Networks and Protocols
5.95
article

Experimental Multiport-Network Parameter Estimation and Optimization for Multi-Bit RIS

Philipp del Hougne
article en
4 citations

Abstract

Physics-consistent theoretical studies on RIS-parametrized wireless channels use models from multiport-network theory (MNT) to capture mutual-coupling (MC) effects. However, in practice, RIS design and radio environment are partially or completely unknown. We fill a research gap on how to estimate the MNT model parameters in such experimentally relevant scenarios. Our technique efficiently combines closed-form and gradient-descent steps, and it can be applied to multi-bit-programmable RIS elements. We discuss inevitable (but operationally irrelevant) parameter ambiguities. We experimentally validate our technique in an unknown rich-scattering environment parametrized by eight 6-bit-programmable RIS elements of unknown design. We experimentally evaluate the performance of RIS configurations optimized with the estimated MNT model and an MC-unaware cascaded model. While the models differ in accuracy by up to 17 dB, the end-to-end performance differences are small.

IEEE Wireless Communications LettersVol. 15
Centre National de la Recherche Scientifique (FR), Institut d'Électronique et des Technologies du numéRique (FR), Université de Rennes (FR)
Openalex Percentile: Top 4%
Wireless Networks and Protocols
5.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.