School of Health Sciences, Swinburne University of Technology, Melbourne, VIC 3122, Australia.
Australian Centre for Electromagnetic Bioeffects Research, Swinburne University of Technology, Melbourne, VIC 3122, Australia.
Sensors (Basel). 2022 Aug 8;22(15):5924. doi: 10.3390/s22155924.
Mobile communication has achieved enormous technology innovations over many generations of progression. New cellular technology, including 5G cellular systems, is being deployed and making use of higher frequencies, including the Millimetre Wave (MMW) range (30-300 GHz) of the electromagnetic spectrum. Numerical computational techniques such as the Finite Difference Time Domain (FDTD) method have been used extensively as an effective approach for assessing electromagnetic fields' biological impacts. This study demonstrates the variation of the accuracy of the FDTD computational simulation system when different meshing sizes are used, by using the interaction of the critically sensitive human cornea with EM in the 30 to 100 GHz range. Different approaches of base cell size specifications were compared. The accuracy of the computation is determined by applying planar sensors showing the detail of electric field distribution as well as the absolute values of electric field collected by point sensors. It was found that manually defining the base cell sizes reduces the model size as well as the computation time. However, the accuracy of the computation decreases in an unpredictable way. The results indicated that using a cloud computing capacity plays a crucial role in minimizing the computation time.
移动通信在多代的发展中取得了巨大的技术创新。新的蜂窝技术，包括 5G 蜂窝系统，正在被部署并利用更高的频率，包括电磁频谱的毫米波（MMW）范围（30-300GHz）。数值计算技术，如时域有限差分（FDTD）法，已被广泛用作评估电磁场生物影响的有效方法。本研究通过使用在 30 至 100GHz 范围内与 EM 相互作用的临界敏感人眼角膜，展示了在使用不同网格尺寸时 FDTD 计算模拟系统的准确性变化。比较了不同的基本单元尺寸规格的方法。计算的准确性是通过应用平面传感器来确定的，这些传感器显示了电场分布的细节以及点传感器收集的电场的绝对值。结果表明，手动定义基本单元尺寸会减小模型尺寸和计算时间。然而，计算的准确性会以不可预测的方式降低。结果表明，使用云计算能力在最小化计算时间方面起着至关重要的作用。
