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Dataset-23: Android-based 4G LTE, 5G NR, and Throughput Measurements for Two Sweeps of a UAV near a Private AERPAW Base Station

2025
2024, 4G LTE, 5G NR
PawPrints
2024, 4G LTE, 5G NR, Android, PawPrints, Private Ericsson Base Station, Rural, Samsung S21, Smartphone

Lead Experimenter

Simran Singh, North Carolina State University

Link to Dataset

  • Dataset Link: Dataset: The dataset contains 4G LTE and 5G NR KPIs of the AERPAW private Ericsson base station, such as RSRP, RSRQ and RSSI, collected at the UAV and logged at one-second intervals. Application layer IPerf throughput measurements are also included. Position of the UAV is represented in terms of latitude, longitude, and altitude. The dataset is shared in .csv format at [Google Drive].
  • Post-processing Scripts: Post Processing scripts are shared at [GitHub].

Equipment and Software Used

Samsung S21, PawPrints Android App, SPN on a SAM

Description

A UAV carrying a Samsung S21 Android Phone was flown to sweep across the sectors of a private Ericsson AERPAW base station, tracing a rectangular path. The Android phone logged 4G and 5G cellular KPIs, and these logs were correlated with the UAV’s position based on timestamps. All cellular and position KPIs are merged in a single .csv file for convenient analysis.

Publications

    Representative Results

    The NR RSRP and throughput results are presented below.

     

    Potential use cases for this dataset include:

    • Cellular network planning for aerial users
    • Air to ground coverage analysis for 5G NSA cell towers