Yinghua Wang

Title: Yinghua Wang and Geometry-Based Channel Modeling for Industrial IoT

Introduction

Yinghua Wang is an inventor associated with Nanjing, China. His patent work addresses channel modeling for industrial Internet of Things (IIoT) communications, including requirements relevant to 6G systems.

Latest Patents

Wang is associated with 1 patent: “Geometry-Based Stochastic Channel Modeling Method for Industrial Internet of Things Communications.” The invention describes a method for modeling IIoT radio channels by setting the propagation scenario, conditions, model parameters, and antenna configuration, then generating spatially consistent large-scale parameters and channel coefficients.

The method also models clusters of multipath components, including their visibility, delays, angles, and powers. As transmitters and receivers move, it updates their positions and channel parameters, applies a cluster birth-and-death process, and calculates channel statistics. The disclosure states that the model considers 6G channel-modeling requirements and dense multipath characteristics, and that it is verified using actual measurement data. It identifies this work as relevant to the standardization of IIoT channel models.

Career Highlights

Wang’s listed organizational affiliations include Southeast University and Purple Mountain Laboratories. His patent reflects research focused on wireless communications and channel modeling for industrial IoT applications.

Collaborations

Yuxiao Li is identified as Wang’s coworker. The available information does not specify their roles or the nature of their collaboration on the patent.

Conclusion

Yinghua Wang’s patent presents a measurement-verified approach to modeling dynamic IIoT communication channels, with attention to dense multipath and 6G requirements.