This paper presents 3–4 and 38–40 GHz wideband channel characteristics for industrial internet‐of‐things (IIoT) scenario based on measurements. The channel measurement equipment applied in the measurements consists of a programmable vector network analyzer and necessary auxiliaries. An extensive amount of data in line‐of‐sight (LoS) and non‐line‐of‐sight (NLoS) scenarios is collected with omnidirectional antennas in both transmitter and receiver ends. With the Space‐Alternating Generalized Expectation‐maximization (SAGE) algorithm, the multipath components (MPCs) of the received signals are extracted to calculate the channel model parameters, for example, channel gain coefficient, delay spread, and Ricean K factor. By studying the statistical characteristics of these parameters, a stochastic channel model in IIoT scenario is initially established and compared with the existing indoor channel models. Moreover, the distinctive characteristics of channel parameters in the millimeter wave band and sub‐6 GHz band in the IIoT scenario are demonstrated.

中文翻译：

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工业物联网场景中基于测量的传播通道实验统计建模

本文介绍了基于测量的工业物联网（IIoT）场景的3–4和38–40 GHz宽带信道特性。测量中使用的信道测量设备包括可编程矢量网络分析仪和必要的辅助设备。在发射器和接收器端均使用全向天线收集了视线（LoS）和非视线（NLoS）场景中的大量数据。使用空间替代广义期望最大化（SAGE）算法，提取接收信号的多径分量（MPC）以计算信道模型参数，例如，信道增益系数，延迟扩展和Ricean K因子。通过研究这些参数的统计特性，初步建立了IIoT场景中的随机信道模型，并将其与现有的室内信道模型进行比较。此外，还演示了IIoT场景中毫米波频段和6 GHz以下频段的信道参数的独特特征。