Fast-Reconfiguring Liquid-Crystal RIS for Pervasive Wireless Networks

Conference Paper (2026)
Author(s)

Luis F. Abanto-Leon (Ruhr-Universität Bochum)

Robin Neuder (Technische Universität Darmstadt)

Waqar Ahmed

Alejandro Jimenez Saez (Technische Universität Darmstadt)

Vahid Jamali (Technische Universität Darmstadt)

Arash Asadi (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Embedded Systems
DOI related publication
https://doi.org/10.1109/WoWMoM69805.2026.00012 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Embedded Systems
Pages (from-to)
1-11
Publisher
IEEE
ISBN (electronic)
9798331562991
Event
27th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2026 (2026-06-16 - 2026-06-19), Bologna, Italy
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Abstract

Reconfigurable intelligent surfaces (RISs) have emerged as a key technology for dynamically reshaping wireless propagation, enhancing coverage and mitigating blockages to enable more pervasive network connectivity. However, implementing RISs at high frequencies remains challenging due to the cost and power demands of semiconductor-based components. To address these critical limitations, liquid crystals (LCs) technology has been identified as a promising low-cost and low-power alternative, giving rise to LC-RIS. The central challenge of this technology, however, lies in its limited responsiveness, as the slow molecular dynamics of LCs lead to long phase-shift reconfiguration times that restrict practicality. This paper presents LiquiRIS, a novel framework that enables substantially faster phase shifting in LC-RIS. By explicitly incorporating the physical dynamics of LC molecules into the phase-shift configuration process, LIQUIRIS intelligently selects phase transitions that minimize the overall reconfiguration time. As a result, LIQUIRIS achieves up to 71.61% reduction in overall reconfiguration time compared to conventional schemes, significantly improving the feasibility of LC-RIS deployment. The proposed framework is further validated through experiments on a mmWave LC-RIS prototype.

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