arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2011.02335eess.SPcs.ETcs.NIcs.SYeess.SY
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功率受限太赫兹操作软件定义超材料中的局域化

Localization in Power-Constrained Terahertz-Operating Software-Defined Metamaterials

Filip Lemic, Sergi Abadal, Chong Han, Johann Marquez-Barja, Eduard Alarcón, Jeroen Famaey

摘要:

软件定义超材料(SDM)在推进电磁波的工程控制方面显示出强大的潜力。因此,它们被设想为能够实现各种令人兴奋的应用,其中包括智能纺织品,高分辨率结构监测和具有挑战性的环境中的传感等领域。许多应用设想SDM结构的变形,诸如它们的弯曲、拉伸或滚动,这意味着超材料元件的位置将相对于彼此改变。在本文中,我们认为,如果超材料元件将被准确定位,这个位置信息可能会被利用,使新的SDM应用,以及优化控制的元素本身。为了使它们能够定位,我们假设这些元素通过太赫兹(THz)操作纳米网络无线控制。我们认为这些元素是功率受限的,它们唯一的供电选择是从不同的环境来源中获取能量。通过仿真,我们证明了基于双向飞行时间(ToF)的定位的亚毫米精度,以及服务的高可用性(即,一致地超过80%的时间),这是定位过程中消耗的低能量的结果。最后,我们定性地描述了所提出的本地化服务的延迟,以及概述了几个挑战和未来的研究方向。

英文摘要:

Software-Defined Metamaterials (SDMs) show a strong potential for advancing the engineered control of electromagnetic waves. As such, they are envisioned to enable a variety of exciting applications, among others in the domains of smart textiles, high-resolution structural monitoring, and sensing in challenging environments. Many of the applications envisage deformations of the SDM structures, such as their bending, stretching or rolling, which implies that the locations of metamaterial elements will be changing relative to one another. In this paper, we argue that if the metamaterial elements would be accurately localizable, this location information could potentially be utilized for enabling novel SDM applications, as well as for optimizing the control of the elements themselves. To enable their localization, we assume that these elements are controlled wirelessly through a Terahertz (THz)-operating nanonetwork. We consider the elements to be power-constrained, with their sole powering option being to harvest energy from different environmental sources. By means of simulation, we demonstrate sub-millimeter accuracy of the two-way Time of Flight (ToF)-based localization, as well as high availability of the service (i.e., consistently more than 80% of the time), which is a result of the low energy consumed in the localization process. Finally, we qualitatively characterize the latency of the proposed localization service, as well as outline several challenges and future research directions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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