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Main Authors: Jia, Xing, Liu, Hao, Niu, Haoxian, Li, Jinbao, Ding, Xiangyu, Gan, Lu
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2603.08040
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author Jia, Xing
Liu, Hao
Niu, Haoxian
Li, Jinbao
Ding, Xiangyu
Gan, Lu
author_facet Jia, Xing
Liu, Hao
Niu, Haoxian
Li, Jinbao
Ding, Xiangyu
Gan, Lu
contents Stacked intelligent metasurfaces (SIMs) have recently emerged as a key enabler for realizing electromagnetic wave-domain signal processing in next-generation wireless networks. However, practical SIM implementations often suffer from noticeable mismatches between theoretical models and measured responses due to fabrication and assembly imperfections. This article systematically investigates the problem of interlayer error calibration in SIMs. We first classify representative modeling and hardware-induced imperfections. Then, we outline the major challenges in SIM calibration and further develop a general framework that integrates a calibration protocol with the relevant solution strategies. Moreover, we investigate the effectiveness of the multi-stage calibration approach in mitigating geometric deviations and improving the alignment between the calibrated and practical propagation coefficients. Finally, we elaborate on key research opportunities and practical challenges toward realizing physically consistent and hardware-compliant SIM implementations for future research.
format Preprint
id arxiv_https___arxiv_org_abs_2603_08040
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Interlayer Error Calibration for Stacked Intelligent Metasurfaces:Modeling, Algorithms, and Future Perspectives
Jia, Xing
Liu, Hao
Niu, Haoxian
Li, Jinbao
Ding, Xiangyu
Gan, Lu
Signal Processing
Stacked intelligent metasurfaces (SIMs) have recently emerged as a key enabler for realizing electromagnetic wave-domain signal processing in next-generation wireless networks. However, practical SIM implementations often suffer from noticeable mismatches between theoretical models and measured responses due to fabrication and assembly imperfections. This article systematically investigates the problem of interlayer error calibration in SIMs. We first classify representative modeling and hardware-induced imperfections. Then, we outline the major challenges in SIM calibration and further develop a general framework that integrates a calibration protocol with the relevant solution strategies. Moreover, we investigate the effectiveness of the multi-stage calibration approach in mitigating geometric deviations and improving the alignment between the calibrated and practical propagation coefficients. Finally, we elaborate on key research opportunities and practical challenges toward realizing physically consistent and hardware-compliant SIM implementations for future research.
title Interlayer Error Calibration for Stacked Intelligent Metasurfaces:Modeling, Algorithms, and Future Perspectives
topic Signal Processing
url https://arxiv.org/abs/2603.08040