A New Paradigm for Reconfigurable Intelligent Surface Design: Multi-port Network Method
Zhen Zhang, Qiang Chen

TL;DR
This paper introduces a multi-port network method for reconfigurable intelligent surface design, improving modeling accuracy, reducing reliance on electromagnetic simulations, and shortening design time for complex structures.
Contribution
It presents a novel multi-port network approach that enhances RIS element modeling accuracy and efficiency compared to existing methods.
Findings
Improved modeling accuracy for complex RIS structures.
Reduced dependence on full-wave electromagnetic simulations.
Shortened design time for RIS elements.
Abstract
As a novel approach to flexibly adjust the wireless environment, reconfigurable intelligent surfaces (RIS) have shown significant application potential across various domains, including wireless communication, radar detection, and the Internet of Things. Currently, mainstream design methods for reconfigurable intelligent surfaces face inherent limitations. For instance, while the full-wave electromagnetic (EM) simulation method offers strong universality, it suffers from low efficiency. Machine learning-based methods can effectively reduce design time but are heavily dependent on full-wave EM simulations. Although the design methods based on the equivalent circuit can lessen the reliance on full-wave EM simulations, they still struggle with insufficient model accuracy when dealing with complex element structures. In recent years, a new multi-port network method has been introduced to…
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Taxonomy
TopicsAugmented Reality Applications
