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Dataset 21: UAV Ray Tracing Simulations with 5 Towers at Lake Wheeler

2025
2025, 3.3 GHz, Drone, Rural
Non-Canonical Experiments

Lead Experimenter

Donggu Lee, North Carolina State University

Link to Dataset

  • Dataset Link: This dataset contains received signal strength (RSS) simulation results generated using NVIDIA Sionna’s ray tracing engine. For verification, real-world RSS measurements from a UAV-based campaign are included (see [Dataset-12] ). Ray tracing simulations were conducted at the same location as the measurements, using corresponding GPS trajectories. The dataset can be accessed here [Dryad].

Equipment and Software Used

Sionna, Python, MATLAB

Description

This dataset contains Sionna-based ray tracing simulation results for UAV communication. In this experiment, an unmanned aerial vehicle acts as the transmitter, while five towers in the Lake Wheeler area serve as receivers.

Each tower uses a dual-channel USRP (B210) to measure received signal strength. Ray tracing was performed over the UAV’s predefined flight trajectory, using matching transmitter and receiver configurations.

MATLAB scripts for plotting the trajectory, altitude over time, and for comparing simulation and measurement results are included.

Publications

  1. D. Lee, O. Ozdemir, A. Ram, and I. Guvenc, “Analysis and Prediction of Coverage and Channel Rank for UAV Networks in Rural Scenarios with Foliage,” arXiv:2502.10324.

Representative Results

The RSS results for LW-1 to LW-5, along with the altitude versus time data from this experiment, are presented below.

Potential use cases for this dataset include:

  • RF Coverage Analysis and Planning
  • Performance Benchmarking
  • Network Management for UAV Applications