Two-Layer Stacked Intelligent Metasurfaces: Balancing Performance and Complexity

Fuente: arXiv
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Autori principali: Niu, Hong, Yuen, Chau, Di Renzo, Marco, Debbah, Mérouane, Poor, H. Vincent
Natura: Preprint
Pubblicazione: 2026
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author Niu, Hong
Yuen, Chau
Di Renzo, Marco
Debbah, Mérouane
Poor, H. Vincent
author_facet Niu, Hong
Yuen, Chau
Di Renzo, Marco
Debbah, Mérouane
Poor, H. Vincent
contents Stacked intelligent metasurfaces (SIMs) have emerged as a powerful paradigm for wave-domain signal processing, enabling fine-grained control over electromagnetic (EM) propagation in next-generation wireless systems. However, conventional multi-layer SIMs often suffer from excessive structural complexity, high computational overhead, and significant power attenuation across layers, limiting their performance. In this paper, we first characterize SIMs from the perspectives of functionality, application, and layer configuration, revealing the inherent trade-offs between signal processing flexibility and power efficiency. Then, two representative 2-layer architectures, the meta-fiber-connected SIM (MF-SIM) and the flexible intelligent layered metasurface (FILM), are introduced, each advocating a distinct 2-layer SIM design philosophy. Moreover, we identify several open challenges in topology optimization for MF-SIM, shape control for FILM, and hybrid 2-layer architectures. Finally, case studies considering 2-layer MF-SIM and FILM assisted point-to-point multiple-input multiple-output (MIMO) and multi-user communication systems validate that properly designed 2-layer SIMs can significantly reduce power loss and optimization burden while maintaining good signal processing performance, offering a promising pathway toward practical SIM-enabled 6G systems.
format Preprint
id arxiv_https___arxiv_org_abs_2603_10693
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Two-Layer Stacked Intelligent Metasurfaces: Balancing Performance and Complexity
Niu, Hong
Yuen, Chau
Di Renzo, Marco
Debbah, Mérouane
Poor, H. Vincent
Information Theory
Stacked intelligent metasurfaces (SIMs) have emerged as a powerful paradigm for wave-domain signal processing, enabling fine-grained control over electromagnetic (EM) propagation in next-generation wireless systems. However, conventional multi-layer SIMs often suffer from excessive structural complexity, high computational overhead, and significant power attenuation across layers, limiting their performance. In this paper, we first characterize SIMs from the perspectives of functionality, application, and layer configuration, revealing the inherent trade-offs between signal processing flexibility and power efficiency. Then, two representative 2-layer architectures, the meta-fiber-connected SIM (MF-SIM) and the flexible intelligent layered metasurface (FILM), are introduced, each advocating a distinct 2-layer SIM design philosophy. Moreover, we identify several open challenges in topology optimization for MF-SIM, shape control for FILM, and hybrid 2-layer architectures. Finally, case studies considering 2-layer MF-SIM and FILM assisted point-to-point multiple-input multiple-output (MIMO) and multi-user communication systems validate that properly designed 2-layer SIMs can significantly reduce power loss and optimization burden while maintaining good signal processing performance, offering a promising pathway toward practical SIM-enabled 6G systems.
title Two-Layer Stacked Intelligent Metasurfaces: Balancing Performance and Complexity
topic Information Theory
url https://arxiv.org/abs/2603.10693