工厂自动化部署中28 GHz和60 GHz毫米波信道特性的表征

D. Solomitckii, A. Orsino, S. Andreev, Y. Koucheryavy, M. Valkama
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引用次数: 40

摘要

未来的蜂窝系统有望通过满足超高可靠性和极低延迟的严格要求,彻底改变当今的工业生态系统。沿着这些路线,支持下一代工厂自动化部署的核心技术是使用毫米波(mmWave)通信,该通信工作在极高的频率(即从10到100 GHz)。然而,由于毫米波波长较短,通道特性对周围物体的实际拓扑结构和尺寸很敏感,因此在现实工厂环境中表征无线电传播行为具有挑战性。基于这些原因,本文研究了两种不同类型的工厂,即轻工业和重工业的重要毫米波信道特性。这些代表了基于技术水平、设备的密度和大小以及生产的产品的工厂分类的极端情况。因此,我们分别对28 GHz和60 GHz的候选毫米波频率进行了评估,以用于授权频带通信和非授权频带通信。在分析了信号传播(例如,在路径损耗方面)和视距(LoS)概率之后,我们的理解是,在工厂自动化环境中,金属设备和各种物体的存在会在毫米波通道特性中产生许多不同之处,从而使它们难以用传统的经验或随机模型来描述。我们的研究结果表明,在室内工业环境中部署实用毫米波系统不应盲目依赖文献中已有的过去的传播研究,而应考虑到基于射线的模拟可能对环境进行更准确和可靠的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of mmWave Channel Properties at 28 and 60 GHz in Factory Automation Deployments
Future cellular systems are expected to revolutionize today's industrial ecosystem by satisfying the stringent requirements of ultra-high reliability and extremely low latency. Along these lines, the core technology to support the next-generation factory automation deployments is the use of millimeter-wave (mmWave) communication that operates at extremely high frequencies (i.e., from 10 to 100 GHz). However, characterizing the radio propagation behavior in realistic factory environments is challenging due to shorter mmWave wavelengths, which make channel properties be sensitive to the actual topology and size of the surrounding objects. For these reasons, this paper studies the important mmWave channel properties for two distinct types of factories, namely, light industry and heavy industry. These represent the extreme cases of factory classification based on the level of technology, the density and the size of the equipment, and the goods produced. Accordingly, we assess the candidate mmWave frequencies of 28 and 60 GHz for licensed-and unlicensed-band communication, respectively. After analyzing the signal propagation (e.g., in terms of path loss) and the line-of-sight (LoS) probability, our understanding is that in a factory automation environment the presence of metallic equipment and various objects produces many dissimilarities in the mmWave channel properties, thus making them difficult to describe with conventional empirical or stochastic models. Our findings suggest that the deployment of the practical mmWave systems in indoor industrial environments should not therefore rely on past propagation studies available in the literature blindly but might take into account more accurate and reliable evaluation of the environment that is possible with ray-based simulations.
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