Data from: Modeling and analysis of 5G-A channel characteristics in underground environments using a novel CRCB-FDTD method

The advancement of intelligent mining and industrial digital
transformation relies heavily on robust wireless communication systems in
underground mines. To enable scientifically sound network planning, this
study proposes a finite difference time domain (FDTD) approach with a
conformal grid for roadway curved boundaries (CRCB-FDTD) method for
high-precision wireless channel modeling in complex mine environments. The
model addresses the critical challenge of accurately simulating wave
propagation in curved roadway structures through an optimized conformal
grid approach. Field measurements collected from operational coal mines
validate the model's performance, demonstrating a mean error
reduction of 1.2 dB compared to the conventional FDTD and 0.5 dB compared
to the equivalent cross-sectional area-based FDTD (ECSA-FDTD), while
maintaining computational efficiency. A key finding reveals asymmetric
channel characteristics in branch roadways, where path loss significantly
increases when transmitters are placed in the main roadways. This
phenomenon arises from the wave-guide effect in the main roadways and
variations in directional energy coupling. The results deliver significant
practical contributions, providing a computationally efficient modeling
framework for precise path loss prediction in curved mine roadways, along
with fundamental insights for optimizing base station placement and
antenna configurations to mitigate coverage asymmetry.