Sionna ray tracing vs. real-world measurements: Signal strength comparison in rural scenarios with foliage

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. The UAV follows a predefined trajectory in a rural environment, transmitting signals to five ground-based towers equipped with dual-channel USRP B210 devices. Corresponding ray tracing simulations are conducted using identical trajectory and transceiver settings. The dataset includes three main components: (1) raw GPS and RSS measurements, (2) ray tracing simulation outputs, and (3) post-processed data aligned for direct comparison. MATLAB scripts are provided to support trajectory visualization, RSS calibration, and comparative analysis. This dataset enables studies in RF propagation modeling, validation of ray tracing simulations, and rural coverage analysis for UAV communication systems., , ## Sionna ray tracing vs. real-world measurements: Signal strength comparison in rural scenarios with foliage

## Description of the data and file structure

We use the NVIDIA Sionna ray tracing tool for RF signal strength analysis in rural scenarios with foliage. To verify the results, we use real-world measurement data in the **NSF AERPAW Testbed**. The UAV flies over the predefined trajectory and five towers (LW1 ~ LW5) in the test bed receive (B210, dual channel USRP) the transmitted signal from the UAV. The Sionna ray tracing is conducted using the same trajectory as the measurement campaign. More information about the simulation setups and ray tracing scenarios is available at [https://arxiv.org/abs/2502.10324](https://arxiv.org/abs/2502.10324).

**Dataset Structure**

Note: Datasets are annotated as D (ex., D1, D2, ...) and Scripts are annotated as C (ex,. C1, C2, ...)

**List of files**

* `D1_RSS_Measurements`
* `D2_RT_RSS_results_data.mat`
* `D3_RT_Measurement_RSS_postprocesse...,