A General and Efficient Framework for the Rapid Design of Miniaturized, Wideband, and High‐Bit RIS

Abstract High‐performance reconfigurable intelligent surfaces (RISs) are growing in significance for practical applications. However, current design methods typically accommodate one or two properties of RISs, and reliance on time‐consuming and burdensome full‐wave simulations slows down design efficiency. To overcome these limitations, we propose a general and efficient framework for the rapid design of high‐performance RISs. It integrates advanced antenna design techniques and incorporates various load types, quantities, and values to achieve the design of high‐performance RISs. To boost efficiency, the framework leverages a multi‐port network model to quickly obtain the electromagnetic (EM) responses of RIS units with various loads and employs the genetic algorithm for fast optimization of desired units. For validation, we designed a miniaturized, wideband, and high‐bit RIS unit using this framework. It achieves 4‐bit phase modulation, 23% relative bandwidth and a λ /5 size. A RIS prototype with a size of 20×10 was designed, simulated, and measured based on this unit. All results are in good agreement, demonstrating effective beam scanning from ‐50° to 50°. The entire design process takes only 1.2 hours and one full‐wave EM simulation. This framework enables rapid high‐performance RISs design, facilitating their large‐scale applications in communication and radar systems.

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Publication Details

Journal
Advanced Electronic Materials
Published
2025-09-15
DOI
https://doi.org/10.1002/aelm.202500446
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

A General and Efficient Framework for the Rapid Design of Miniaturized, Wideband, and High‐Bit RIS

Jun Yan Dai, J. Zhang, Han Qing Yang, Jun Wu et al.
Advanced Electronic Materials
Metamaterials and Metasurfaces Applications
article

A General and Efficient Framework for the Rapid Design of Miniaturized, Wideband, and High‐Bit RIS

Jun Yan Dai, J. Zhang, Han Qing Yang, Jun Wu, Qiang Cheng, Zheng Xing Wang, Qun Yan Zhou, Zhen Zhang, Jianan Zhang, Li Jie Wu, Si Ran Wang, Jiang Luo, Huidong Li, Wanwan Cao, Zhen Jie Qi
article en

Abstract

Abstract High‐performance reconfigurable intelligent surfaces (RISs) are growing in significance for practical applications. However, current design methods typically accommodate one or two properties of RISs, and reliance on time‐consuming and burdensome full‐wave simulations slows down design efficiency. To overcome these limitations, we propose a general and efficient framework for the rapid design of high‐performance RISs. It integrates advanced antenna design techniques and incorporates various load types, quantities, and values to achieve the design of high‐performance RISs. To boost efficiency, the framework leverages a multi‐port network model to quickly obtain the electromagnetic (EM) responses of RIS units with various loads and employs the genetic algorithm for fast optimization of desired units. For validation, we designed a miniaturized, wideband, and high‐bit RIS unit using this framework. It achieves 4‐bit phase modulation, 23% relative bandwidth and a λ /5 size. A RIS prototype with a size of 20×10 was designed, simulated, and measured based on this unit. All results are in good agreement, demonstrating effective beam scanning from ‐50° to 50°. The entire design process takes only 1.2 hours and one full‐wave EM simulation. This framework enables rapid high‐performance RISs design, facilitating their large‐scale applications in communication and radar systems.

Advanced Electronic Materials
City University of Hong Kong (HK), Guangzhou University (CN), State Key Laboratory of Millimeter Waves, Hangzhou Dianzi University (CN), Southeast University (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, State Key Laboratory of Millimeter Waves, Higher Education Discipline Innovation Project, National Key Research and Development Program of China, National Science Fund for Distinguished Young Scholars
Openalex Percentile: Top 84%
Metamaterials and Metasurfaces Applications
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