Characterization of Spatial-Temporal Channel Statistics From Measurement Data at D-Band

The D-band frequencies (110–170 GHz) are expected to play a key role in the development of sixth-generation (6G) and beyond wireless systems, as the growing demand for bandwidth and capacity continues to drive innovation in intelligent transport systems (ITS). This is largely due to the high bandwidth availability and lower atmospheric loss in this band compared to other frequencies above 100 GHz. This paper focuses on deriving a channel frequency response for D-band communications using a geometric-based stochastic channel model (GBSM), specifically considering measurements conducted in both indoor and out door environments for line-of-sight (LOS) and non-line-of-sight (NLOS) scenarios. This study analyzes the statistics of normalized path gain (NPG), normalized path delay (NPD), number of paths (NoP), and azimuth angular spread. The goal is to provide a foundational channel model for the development of signal processing algorithms and antenna performance evaluation for D-band systems. We evaluate the proposed model against an existing channel model and empirical data, focusing on effective channel rank, path loss, and maximum excess delay (MED).