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Error Analysis of Programmable Metasurfaces for Beam Steering

机译:梁转向可编程元件的误差分析

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Recent years have seen the emergence of programmable metasurfaces, where the user can modify the electromagnetic (EM) response of the device via software. Adding reconfigurability to the already powerful EM capabilities of metasurfaces opens the door to novel cyber-physical systems with exciting applications in domains such as holography, cloaking, or wireless communications. This paradigm shift, however, comes with a non-trivial increase of the complexity of the metasurfaces that will pose new reliability challenges stemming from the need to integrate tuning, control, and communication resources to implement the programmability. While metasurfaces will become prone to failures, little is known about their tolerance to errors. To bridge this gap, this paper examines the reliability problem in programmable metamaterials by proposing an error model and a general methodology for error analysis. To derive the error model, the causes and potential impact of faults are identified and discussed qualitatively. The methodology is presented and exemplified for beam steering, which constitutes a relevant case for programmable metasurfaces. Results show that performance degradation depends on the type of error and its spatial distribution and that, in beam steering, error rates over 20% can still be considered acceptable.
机译:近年来已经看到了可编程元件的出现,用户可以通过软件修改设备的电磁(EM)响应。为已有强大的EM的Metasurfaces的可重新配置性为新颖的网络物理系统打开了新的网络物理系统,其中包含诸如全息术,隐形或无线通信等域中的令人兴奋的应用。然而,这种范式转移率存在于将源于整合调整,控制和通信资源实现可编程性的需求的新的可靠性挑战的非琐碎的变形。虽然Metasurfaces将变得容易发生故障,但对他们对错误的耐受性很少。为了弥合这一差距,通过提出误差模型和误差分析的一般方法,检查可编程超材料中可靠性问题。要派生错误模型,定性地识别出故障的原因和潜在影响。呈现和举例说明了用于光束转向的方法,其构成可编程元锉的相关情况。结果表明,性能下降取决于误差的类型及其空间分布,并且在光束转向上,超过20%的错误率仍可被认为是可接受的。

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