This paper presents two wireless measurement campaigns in industrial testbeds: industrial Vehicle-to-vehicle (iV2V) and industrial Vehicle-to-infrastructure plus Sensor (iV2I+). Detailed information about the two captured datasets is provided as well. iV2V covers sidelink communication scenarios between Automated Guided Vehicles (AGVs), while iV2I+ is conducted at an industrial setting where an autonomous cleaning robot is connected to a private cellular network. The combination of different communication technologies, together with a common measurement methodology, provides insights that can be exploited by Machine Learning (ML) for tasks such as fingerprinting, line-of-sight detection, prediction of quality of service or link selection. Moreover, the datasets are labelled and pre-filtered for fast on-boarding and applicability. The corresponding testbeds and measurements are also presented in detail for both datasets.
翻译:本文介绍了工业试床的两个无线测量活动:工业车辆到车辆(iV2V)和工业车辆到基础设施加传感器(iV2I+),还提供了关于两个已捕获数据集的详细信息。iV2V涉及自动制导车辆(AGVs)之间的侧连线通信情景,而iV2I+是在将自动清洁机器人与私人蜂窝网络连接的工业环境中进行的。不同通信技术的结合,加上共同的测量方法,提供了机器学习(ML)可以用来进行指纹鉴别、观察线探测、预测服务质量或链接选择等任务的洞察力。此外,数据集还标有标签和预先过滤,供快速登船和适用。相应的测试和测量表也详细介绍了这两个数据集。