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为更好地补充和扩展典型工业物联网(Industrial Internet of Things, IIoT)场景中毫米波频段电波传播特性的研究，并满足IIoT在连接性、可靠性、安全性、智能化和覆盖性等方面的更高需求，在26 GHz频段下，对典型IIoT场景进行了信道测量与特性分析。研究涉及的典型工业场景包括不同设备布置密度的工业密集场景和工业稀疏场景。基于实测数据，对上述两种工业环境下的信道特征参数进行了萃取，并在此基础上分析和比较了两种典型工业场景的毫米波信道特性。研究发现，由于工业密集场景存在大量金属设备会对信号产生强反射，导致其路径损耗指数小于工业稀疏场景，且莱斯K因子更小、时延扩展更大。当接收端使用相控阵天线时，通过波束跟踪可以实时调整波束方向，从而提高信号的传输效果，减小信号传播时延。对IIoT场景信道特性的准确分析将有助于理解信号在工业环境中的传播规律，预测和评估通信系统的传输可靠性，进而优化系统设计和网络规划，确保IIoT应用的高效稳定运行。
Abstract：To better complement and expand the research on propagation characteristics of millimeter-wave radio frequency bands in typical Industrial Internet of Things(IIoT) scenarios and meet higher demands of IIoT in terms of connectivity, reliability, security, intelligence, and coverage, channel measurement and characteristic analysis were conducted in the 26 GHz frequency band for typical IIoT scenarios. Typical industrial scenarios involved in the research include industrial dense scenarios and industrial sparse scenarios with different equipment layout densities. Channel characteristic parameters are extracted from the measured data for both industrial environments. Subsequently, the millimeter wave channel characteristics in two typical industrial scenarios are analyzed and compared.The findings indicate that in industrial dense scenarios,characterized by numerous metal devices,signals experience strong reflections leading to a lower path loss exponent compared to industrial sparse scenarios,as well as a smaller Rice K factor and greater delay expansion. The utilization of phased array antennas for beam tracking at the receiver improves signal transmission efficiency and reduces propagation delay. Accurate analysis of the channel characteristics in IIoT scenarios is crucial for understanding signal propagation patterns in industrial environments,predicting and evaluating the transmission reliability of communication systems,thereby optimizing system design and network planning,and ensuring efficient and stable operation of IIoT applications.
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基本信息:
中图分类号:TN928
引用信息:
[1]王丽红,朱春华,杨靖雅.基于测量的典型工业物联网场景毫米波信道特性分析[J].无线电通信技术,2024,50(05):876-885.
基金信息:
国家自然科学基金(62101507); 河南省科技研发计划联合基金青年科学家项目(225200810112); 河南工业大学创新基金支持计划专项资助(2022ZKCJ13)~~