Point Cloud-Based Prediction Models of Dynamic Human Body Shadowing at 58 GHz

Abstract

As one of the channels used by the wireless gigabit (WiGig) protocol, a 58 GHz band has been deployed to realize a data rate of up to 100 gigabits per second (Gbps). Systems at the 58 GHz band point the main beam of the base station toward the mobile stations but suffer from a deep fading due to human body shadowing (HBS). To precisely predict the HBS channel considering the short wavelength at 58 GHz, a simulation method considering the detailed human geometry is needed. This paper proposes screen models and an elliptic cylinder model based on the instantaneous point clouds (PC) of human geometry for the HBS channel simulation using the uniform theory of diffraction (UTD). The proposals enable fair evaluation via a simultaneous measurement of the HBS channel and the PC. The HBS gains at the 58 GHz band in an indoor environment (6.5 m) between the measured and the simulated results based on the proposed models are compared. Compared with the conventional human model, the screen models are suitable for predicting the propagation channel cut-off by tracing the changing posture of the human body, and the elliptic cylinder model is suitable for predicting the shadowing distance by a 75% improvement.