Ericsson 5G NSA network RF and throughput measurements on AERPAW network
Abstract
This dataset provides comprehensive radio frequency (RF) and throughput measurements from an Ericsson 5G Non-Standalone (NSA) network captured during a UAV zigzag flight mission conducted by the AERPAW platform on September 15, 2023. Utilizing a Small Portable Node SPN3 equipped with a Quectel 5G Modem, measurements were taken at yaw45 and yaw315 orientation across 30 m altitude. This dataset specifically details the network's performance under two sectors operating on LTE and NR technologies, capturing essential metrics such as RSRP, SINR, CQI, MCS, and throughput under varying flight conditions. The objective of this collection is to provide a detailed empirical basis for evaluating 5G NSA deployments in dynamic UAV applications, contributing valuable insights into the network behavior under mobility and different environmental conditions. The dataset is intended for researchers and engineers focusing on 5G performance analysis, network optimization, and UAV-based communication system designs. This release complements existing AERPAW resources, enhancing our understanding of 5G technologies in aerial scenarios.
https://doi.org/10.5061/dryad.wh70rxx06
Description of the data and file structure
This dataset contains radio frequency (RF) and throughput measurements from an Ericsson 5G Non-Standalone (NSA) network during a UAV zigzag flight mission on September 15, 2023, at yaw orientations of 45 and 315 degrees and specifically at an altitude of 30 meters. Measurements were taken using a Small Portable Node (SPN3) equipped with a Quectel 5G Modem. The data covers two sectors, focusing on both LTE and NR technologies.
Files and variables
File: Dryad.zip
Methodology
- Instruments: Small Portable Node SPN3, Quectel 5G Modem
- Experimental Setup: UAV flight testing in zigzag patterns at specified altitude with RF and throughput logging for yaw45 and yaw315 orientations.
- Data Processing: Use the provided MATLAB scripts for post-processing RF measurement data, which includes calculations and visualizations such as 3D scatter plots, distance vs. time analyses, and statistical distributions (PDF and CDF).
Data Files Description
Detailed information for each file within the yaw45 and yaw315 folders:
- input_throughput_with_header.csv: Time and date, Longitude, Latitude, Altitude, and Throughput (Mbps). Throughput measurements, expressed in Mbps, quantify the data transmission rate achieved during the UAV's flight, capturing performance variations due to different yaw orientations and altitudes.
- inputf1_sinr_with_header.csv and inputf2_sinr_with_header.csv: Time and date, Longitude, Latitude, Altitude, and LTE/NR SINR (dB). SINR data, provided in dB, offers insights into the quality of the signal relative to the background noise and interference, critical for assessing communication reliability.
- inputf1_cellid_with_header.csv and inputf2_cellid_with_header.csv: Time and date, Longitude, Latitude, Altitude, and LTE/NR Cell ID. Cell ID information helps identify the specific LTE and NR cells engaged during the UAV’s flight path, illustrating the network's cell distribution and usage.
- inputf1_rsrp_with_header.csv and inputf2_rsrp_with_header.csv: Time and date, Longitude, Latitude, Altitude, LTE/NR RSRP (dBm). RSRP values, recorded in dBm, indicate the power level of the reference signals received from the cell, essential for evaluating signal strength and link quality.
- inputf2_cqi_with_header.csv: Time and date, Longitude, Latitude, Altitude, and NR Channel Quality Information (CQI). CQI reports provide an evaluation of the channel quality experienced, influencing the network's adaptive modulation and coding decisions for optimized performance.
- inputf2_mcs_with_header.csv: Time and date, Longitude, Latitude, Altitude, and NR Modulation and Coding Scheme (MCS). MCS data reveals the modulation and coding techniques applied, reflecting the efficiency of data transmission under varying channel conditions.
- inputf2_ri_with_header.csv: Time and date, Longitude, Latitude, Altitude, and NR Rank Indicator (RI). Rank Indicator values determine the number of transmission layers used in MIMO communications, pivotal for understanding spatial multiplexing capabilities.
Related Documents
- Include the MATLAB processing script (
example.m) as a supplementary file to aid in understanding and reproducing the results.
Access information
Other publicly accessible locations of the data: