Dataset-24: Detailed Cellular and Throughput Measurements for Horizontal Sweeps of a UAV across a Private AERPAW Base Station, using Keysight Nemo and PawPrints

2025

2024, 4G LTE, 5G NR, Rural

2024, 4G LTE, 5G NR, Android, Keysight Nemo, PawPrints, Private Ericsson Base Station, Rural, Samsung S21, Samsung S23, Smartphone

Lead Experimenter

Simran Singh, North Carolina State University

Link to Dataset

Dataset Link:
The dataset contains detailed LTE and 5G NR KPIs of the AERPAW private Ericsson base station, measured at both Nemo and PawPrints. More KPIs are available in the Nemo log, including channel rank and channel quality index. Position information of the UAV, in terms of latitude, longitude, and altitude, is also merged and included. The dataset is shared in .csv format at [Google Drive].

Publications Using This Dataset

I. Panitsas, L. Tassiulas, “A Family of Open Time-Series Foundation Models for the Radio Access Network,” arXiv preprint, January 2026.

Equipment and Software Used

Samsung S23, Keysight Nemo Android App, SPN on a SAM, PawPrints

Description

A UAV carrying two UEs: a Samsung S23 with Keysight Nemo, and a Samsung S21 with PawPrints, was flown in a zig-zag manner, with each sweep at an increasing distance from a private Ericsson AERPAW base station. Nemo logged detailed 4G and 5G cellular KPIs, and these logs were correlated with the UAV’s position based on timestamps. The KPIs include channel rank and channel quality index. Both phones were connected as IPerf clients to an IPerf server. The IPerf server was connected to the Ericsson base station.

Representative Results

The NR PDSCH, CQI, throughput, RSRP, and SINR 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
Comparison of cellular performance of two UEs
Correlation between cellular measurements captured using two different Android phones