Upper-bound Performances of RFID Epidermal Sensor Networks at 5G Frequencies

Upper-bound Performances of RFID Epidermal Sensor Networks at 5G Frequencies
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5G 频率下 RFID 表皮传感器网络的上限性能

DOI:
10.1109/bsn.2019.8771071
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发表时间:
2019
期刊:
2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
影响因子:
--
通讯作者:
G. Marrocco
G. Marrocco
中科院分区:
--
文献类型:
--
作者:
F. Amato;S. Amendola;G. Marrocco

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5G 将在开发用于医疗保健应用的高速可穿戴和表皮电子产品方面发挥关键作用,例如患者监测、远程手术和增强感知能力(适用于人类和机器人)。同时,开发基于反向散射通信的5G-RFID系统将有助于降低功耗并降低电子复杂性。然而,皮肤的高路径损耗和强电磁相互作用可能会严重限制在 5G 频率下运行的表皮 RFID 的范围和性能。本文通过数值模拟研究了人体皮肤对微波和毫米波频率下表皮 RFID 偶极子链路预算的影响。结果表明,当使用当前可用的芯片灵敏度 (−15 dBm) 和读取器天线增益 (6 dBi) 时,表皮 RFID 传感器标签可以通过使用 5.8 GHz 的单个偶极子或 60 GHz 的 23 元件偶极子阵列达到与 UHF 系统相当的范围。 5G RFID 传感器的较小天线尺寸将允许将标签集成到新型无处不在的非侵入性表皮和可穿戴电子产品中,而高频将使医疗应用(例如:微消融或肌肉和神经康复)实现毫米级和微米级分辨率的跟踪。
5G will play a key role in developing high speed wearable and epidermal electronics for healthcare applications such as patient monitoring, tele-surgery, and augmented sensorial abilities (both for humans and robots). At the same time, developing a 5G-RFID system based on backscattering communication will help reducing the power consumption and lowering the electronic complexity. Nevertheless, the high path losses and the strong electromagnetic interactions of the skin might severely limit ranges and performances of epidermal RFIDs operating at 5G frequencies. In this paper, the effects of the human skin on the link budget of epidermal RFID dipoles at microwave and mmWave frequencies are investigated through numerical simulations. Results show that an epidermal RFID sensor tags can reach ranges comparable with UHF systems by using either a single dipole at 5.8 GHz or a 23-element array of dipoles at 60 GHz when using the currently available chip sensitivities (−15 dBm) and reader antenna gains (6 dBi). Smaller antenna sizes of a 5G RFID sensor will allow the integration of tags in new ubiquitous non-invasive epidermal and wearable electronics, while the high frequencies will enable tracking with mm- and micro-scale resolutions for medical applications (e.g.: micro-ablation or muscular and neural rehabilitation).