This dataset is designed for machine learning-based anomaly detection in wireless communication networks. It contains channel measurement data collected from different propagation environments, includ
This dataset contains received signal strength (RSS) simulation results generated using NVIDIA Sionna's ray tracing, along with real-world UAV-based measurements collected at the NSF AERPAW testbed.
Double-directional 8×8 MIMO channel measurements in urban outdoor environments at 4.850 GHz, collected in Yokohama City, Japan. Supports 5G/6G channel modeling, beamforming research, and propagation a
"Field measurements from an over-river LTE link across the Parramatta River. The serving macro cell transmits at 2.6598 GHz (20 MHz channel), mounted ~35 m above ground on a ~10 m-high building (\u221
