Point Cloud-Based Diffraction Path Extraction for Dynamic Human Body Shadowing Channel at 300 GHz

Abstract

The broad bandwidth availability of the sub-Terahertz band enables the next generation of mobile communication systems. Since the high-gain antennas are used to compensate for the severe propagation loss, the communication link depends on the line-of-sight (LoS) channel and suffers from a deep fading when the LoS is shadowed by small objects. This paper proposes a method that estimates the diffraction paths from a complex human body as the ones from the cross-section of the human body. The extracted diffraction paths are used for the uniform theory of diffraction (UTD) simulation. The proposal was evaluated by an indoor measurement (3.3 m) of the human body shadowing channel and a simulation based on the modified edge representation and equivalent edge currents (MER-EECs) method. The proposal was found four times more accurate than the conventional point cloud (PC)-based vertical screen model and available for predicting the Doppler frequencies with complex human motions.