A Guided‐Wave Inspired Reconfigurable Intelligent Surface With Independent Continuous Control of Reflection Amplitude and Phase for Wireless Communications

ABSTRACT In this article, a guided‐wave‐inspired reconfigurable intelligent surface (RIS) with independent continuous amplitude and phase control ability is proposed. The designed RIS unit cell mainly consists of a top square patch, a middle metal ground, and a bottom reconfigurable attenuator‐phase shifter cascade structure. By applying different bias voltages, the proposed RIS achieves a continuous amplitude modulation of 0.2–0.78 and a continuous phase modulation of 410° at 4.9 GHz. As a validation, a RIS array consisting of 12 × 12 elements is fabricated and measured, generating dual beams with independent beam pointing and required power intensity allocation. Correspondingly, a RIS‐assisted wireless communication system is constructed, and the performance of the proposed RIS is verified through image information transmission. In addition, a sub‐bias network that can be flexibly extended according to the scale of the RIS array is designed to solve the problem of the increasing complexity of bias network arrangement caused by independent modulation of amplitude and phase. The proposed RIS has great application potential in RIS‐assisted wireless communication systems, especially in scenarios where power intensities of the beams are allocated based on the data transmission rate requirements of different devices.

Authors

Institutions

Publication Details

Journal
Advanced Materials Technologies
Published
2026-05-09
DOI
https://doi.org/10.1002/admt.71031
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Guided‐Wave Inspired Reconfigurable Intelligent Surface With Independent Continuous Control of Reflection Amplitude and Phase for Wireless Communications

Juan Chen, Xiaoming Chen, Rui Liu, Hongyu Shi et al.
Advanced Materials Technologies
Advanced Wireless Communication Technologies
article

A Guided‐Wave Inspired Reconfigurable Intelligent Surface With Independent Continuous Control of Reflection Amplitude and Phase for Wireless Communications

Juan Chen, Xiaoming Chen, Rui Liu, Hongyu Shi, Anxue Zhang, Jianjia Yi, Haiwen Liu
article en

Abstract

ABSTRACT In this article, a guided‐wave‐inspired reconfigurable intelligent surface (RIS) with independent continuous amplitude and phase control ability is proposed. The designed RIS unit cell mainly consists of a top square patch, a middle metal ground, and a bottom reconfigurable attenuator‐phase shifter cascade structure. By applying different bias voltages, the proposed RIS achieves a continuous amplitude modulation of 0.2–0.78 and a continuous phase modulation of 410° at 4.9 GHz. As a validation, a RIS array consisting of 12 × 12 elements is fabricated and measured, generating dual beams with independent beam pointing and required power intensity allocation. Correspondingly, a RIS‐assisted wireless communication system is constructed, and the performance of the proposed RIS is verified through image information transmission. In addition, a sub‐bias network that can be flexibly extended according to the scale of the RIS array is designed to solve the problem of the increasing complexity of bias network arrangement caused by independent modulation of amplitude and phase. The proposed RIS has great application potential in RIS‐assisted wireless communication systems, especially in scenarios where power intensities of the beams are allocated based on the data transmission rate requirements of different devices.

Advanced Materials Technologies
Dalian University of Foreign Languages (CN), Dalian University (CN), Xi'an Jiaotong University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 8%
Advanced Wireless Communication Technologies
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.