Varvara V. Elesina;Carla E. Reinhardt;Lennart Thielecke;Tobias Doeker;Thomas Kürner
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In blockage scenarios, where we compared the effects of two different types of obstacles – a metal plate and a robotic arm – the channel behavior can be divided into three distinct regions: fully stationary before and after the blockage, non-stationary during the transition periods, and either conditionally stationary or fully non-stationary during partial or full blockage, respectively. These distinctions were influenced by the type of blockage object and whether the scenario involved non-line-of-sight (NLOS) or obstructed-line-of-sight (OLOS) conditions. Notably, the speed of moving obstacles affects the duration and nature of non-stationary regions, with higher speeds leading to shorter and less distinct transition periods. 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引用次数: 0
摘要
本文提出了一种分析工业环境中时变信道静止性的初步方法,重点关注三种不同的场景:1) 在一个综合工业工作区内,一个静态接入点(AP)和一个安装在移动机器上的传感器节点(SN)之间的通信;2) 两个静态传感器节点(SN)之间的通信,它们之间有一个移动的金属板物体;3) 两个静态机器人机械手之间的通信,它们之间有一个移动的障碍物,移动速度各不相同。利用时域和频域的局部散射函数(LSF)共线性指标,对信道建模的基本假设--广义静止(WSS)和非相关散射(US)进行了检验。在阻塞情况下,我们比较了金属板和机械臂这两种不同类型障碍物的影响,信道行为可分为三个不同的区域:阻塞前后完全静止、过渡期间非静止、部分或完全阻塞期间分别为有条件静止或完全非静止。这些区别受到障碍物类型以及情景是否涉及非视线(NLOS)或视线受阻(OLOS)条件的影响。值得注意的是,移动障碍物的速度会影响非稳态区域的持续时间和性质,速度越快,过渡时间越短,越不明显。研究发现,US 假设在阻塞情况下基本有效,但在 AP 情况下无效。
Investigating the WSSUS Assumption in 300 GHz Time-Variant Channels in Industrial Environments
This paper present an initial approach to the analysis of the stationarity of time-variant channels in industrial environments, focusing on three distinct scenarios: 1) communication between a static access point (AP) and a sensor node (SN) mounted on a moving machine within a comprehensive industrial workspace, 2) communication between two static sensor node (SN) with a moving metal plate object between them, and 3) communication between two static robotic manipulators with a moving obstacle with varying movement speeds between them. The assumptions of the wide-sense stationary (WSS) and uncorrelated scatering (US), fundamental to channel modeling, are examined using local scattering function (LSF) collinearity metrics in both time and frequency domains. In blockage scenarios, where we compared the effects of two different types of obstacles – a metal plate and a robotic arm – the channel behavior can be divided into three distinct regions: fully stationary before and after the blockage, non-stationary during the transition periods, and either conditionally stationary or fully non-stationary during partial or full blockage, respectively. These distinctions were influenced by the type of blockage object and whether the scenario involved non-line-of-sight (NLOS) or obstructed-line-of-sight (OLOS) conditions. Notably, the speed of moving obstacles affects the duration and nature of non-stationary regions, with higher speeds leading to shorter and less distinct transition periods. The US assumption was found to be generally valid in the blockage scenarios but not in the AP scenario.