Institute of Electronics, Computer and Telecommunication Engineering (IEIIT), CNR, 20133 Milano, Italy.
Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, 20133 Milano, Italy.
Sensors (Basel). 2022 Aug 31;22(17):6564. doi: 10.3390/s22176564.
(1) Background: Cooperative Intelligent Transportation Systems (C-ITS) will soon operate using 5G New-Radio (NR) wireless communication, overcoming the limitations of the current V2X (Vehicle-to-Everything) wireless communication technologies and increasing road-safety and driving efficiency. These innovations will also change the RF exposure levels of pedestrians and road-users in general. These people, in fact, will be exposed to additional RF sources coming from nearby cars and from the infrastructure. Therefore, an exposure assessment of people in the proximity of a connected car is necessary and urgent. (2) Methods: Two array antennas for 5G-V2X communication at 3.5 GHz were modelled and mounted on a realistic 3D car model for evaluating the exposure levels of a human model representing people on the road near the car. Computational simulations were conducted using the FDTD solver implemented in the Sim4Life platform; different positions and orientations between the car and the human model were assessed. The analyzed quantities were the Specific Absorption Rate on the whole body (SAR), averaged over 10 g (SAR) in specific tissues, as indicated in the ICNIRP guidelines. (3) Results: the data showed that the highest exposure levels were obtained mostly in the head area of the human model, with the highest peak obtained in the configuration where the main beam of the 5G-V2X antennas was more direct towards the human model. Moreover, in all configurations, the dose absorbed by a pedestrian was well below the ICNIRP guidelines to avoid harmful effects. (4) Conclusions: This work is the first study on human exposure assessment in a 5G-V2X scenario, and it expands the knowledge about the exposure levels for the forthcoming use of 5G in connected vehicles.
(1)背景:协作式智能交通系统(C-ITS)即将使用 5G 新无线电(NR)无线通信进行操作,克服当前车对一切(V2X)无线通信技术的局限性,提高道路安全和驾驶效率。这些创新也将改变行人和一般道路使用者的射频辐射暴露水平。事实上,这些人将接触到来自附近汽车和基础设施的额外射频源。因此,有必要对靠近联网汽车的人员进行暴露评估。(2)方法:模拟了两个用于 3.5GHz 5G-V2X 通信的阵列天线,并安装在一个现实的 3D 汽车模型上,以评估代表靠近汽车的道路上行人的人体模型的暴露水平。使用 Sim4Life 平台中实现的 FDTD 求解器进行了计算模拟;评估了汽车和人体模型之间的不同位置和方向。分析的数量是整个身体的比吸收率(SAR),按照 ICNIRP 指南在特定组织中平均 10g(SAR)。(3)结果:数据显示,人体模型头部区域的暴露水平最高,在 5G-V2X 天线的主波束更直接朝向人体模型的配置中,获得的峰值最高。此外,在所有配置中,行人吸收的剂量均远低于 ICNIRP 指南,以避免有害影响。(4)结论:这项工作是 5G-V2X 场景中人体暴露评估的首次研究,扩展了关于即将在联网车辆中使用 5G 的暴露水平的知识。