Gain loss in metasurfaces caused by reflection-coefficient quantization: an error vector magnitude approach

Metasurfaces with a finite number of discrete reflection states inevitably suffer a gain loss compared with their ideal continuous-phase counterparts. This paper proposes an error vector magnitude (EVM)-based metric, denoted Γ<sub>EVM</sub>, for the complex reflection coefficient of a metasurface unit, where Γ<sub>EVM</sub> is defined as the root-mean-square difference between the ideal and realizable reflection coefficients over [0, 2<i>π</i>). The metric enables quantitative evaluation of the unit's quantization precision and prediction of the resulting gain loss in the entire array. Assuming a uniform phase probability density function (PDF) over [0, 2<i>π</i>), a closed-form expression for Γ<sub>EVM</sub> is derived together with an empirical relation that relates Γ<sub>EVM</sub> to the gain loss, so that the array radiation efficiency can be estimated directly from Γ<sub>EVM</sub>. For practical metasurfaces with nonuniform phase statistics, a statistical method based on empirical phase PDFs is introduced, resulting in closed-form expressions for the expectation and variance of the gain-loss statistics in terms of Γ<sub>EVM</sub> and the total number of metasurface units. The proposed method is validated by Monte Carlo simulations and on five 20 × 20 prototypes operating at 28 GHz and covering quantization levels from 1-bit to multiple-bit resolutions. Measurements confirm agreement with theoretical estimations, with a maximum deviation of 0.34 dB. These results demonstrate that the proposed metric provides a generalizable and easy-to-use tool for estimating metasurface gain loss, facilitating efficient design in 5G and satellite communication systems.

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Publication Details

Journal
Optics Express
Published
2025-12-10
DOI
https://doi.org/10.1364/oe.580860
Primary Topic
Advanced Antenna and Metasurface Technologies
Type
article
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article

Gain loss in metasurfaces caused by reflection-coefficient quantization: an error vector magnitude approach

Ke Peng, Kai‐Da Xu, Qiang Chen
Optics Express
Advanced Antenna and Metasurface Technologies
article

Gain loss in metasurfaces caused by reflection-coefficient quantization: an error vector magnitude approach

Ke Peng, Kai‐Da Xu, Qiang Chen
article en

Abstract

Metasurfaces with a finite number of discrete reflection states inevitably suffer a gain loss compared with their ideal continuous-phase counterparts. This paper proposes an error vector magnitude (EVM)-based metric, denoted Γ<sub>EVM</sub>, for the complex reflection coefficient of a metasurface unit, where Γ<sub>EVM</sub> is defined as the root-mean-square difference between the ideal and realizable reflection coefficients over [0, 2<i>π</i>). The metric enables quantitative evaluation of the unit's quantization precision and prediction of the resulting gain loss in the entire array. Assuming a uniform phase probability density function (PDF) over [0, 2<i>π</i>), a closed-form expression for Γ<sub>EVM</sub> is derived together with an empirical relation that relates Γ<sub>EVM</sub> to the gain loss, so that the array radiation efficiency can be estimated directly from Γ<sub>EVM</sub>. For practical metasurfaces with nonuniform phase statistics, a statistical method based on empirical phase PDFs is introduced, resulting in closed-form expressions for the expectation and variance of the gain-loss statistics in terms of Γ<sub>EVM</sub> and the total number of metasurface units. The proposed method is validated by Monte Carlo simulations and on five 20 × 20 prototypes operating at 28 GHz and covering quantization levels from 1-bit to multiple-bit resolutions. Measurements confirm agreement with theoretical estimations, with a maximum deviation of 0.34 dB. These results demonstrate that the proposed metric provides a generalizable and easy-to-use tool for estimating metasurface gain loss, facilitating efficient design in 5G and satellite communication systems.

Optics ExpressVol. 34(1)
Tohoku University (JP)
Openalex Percentile: Top 49%
Advanced Antenna and Metasurface Technologies
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