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The Industrial Internet of Things (IIoT) leverages advanced communication technologies to enhance industrial manufacturing processes. Reconfigurable Intelligent Surface (RIS) is considered a key technology for optimizing wireless propagation environments in complex IIoT scenarios. This paper investigates the impact of RIS phase quantization on communication performance within IIoT settings. First, measurements of RIS-assisted communication channels under different quantization bits are conducted in an IIoT scenario. Next, this paper analyzes the effect of phase quantization on the received signal level and the main lobe direction. The results indicate that RIS can provide regular performance improvements at different points in the plant with different quantization bits, which align with theoretical analysis.

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An Empirical Analysis of RIS Phase Quantization Effect in an IIoT Scenario

  • 会议论文

  • 发表日期：

    2025年

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  • Junjian Pan,
  • Yuxiang Zhang,
  • Jianhua Zhang,
  • Huiwen Gong,
  • Liang Xia,
  • Guangyi Liu

摘要

The Industrial Internet of Things (IIoT) leverages advanced communication technologies to enhance industrial manufacturing processes. Reconfigurable Intelligent Surface (RIS) is considered a key technology for optimizing wireless propagation environments in complex IIoT scenarios. This paper investigates the impact of RIS phase quantization on communication performance within IIoT settings. First, measurements of RIS-assisted communication channels under different quantization bits are conducted in an IIoT scenario. Next, this paper analyzes the effect of phase quantization on the received signal level and the main lobe direction. The results indicate that RIS can provide regular performance improvements at different points in the plant with different quantization bits, which align with theoretical analysis.