5G RSSI-based drone count dataset using software defined radio

This dataset provides high-grade Received Signal Strength Indicator (RSSI) data collected from a set of experiments meant to estimate the number of drones present in a closed indoor space. The experiments are conducted varying the number of drones from one to seven, where all the variations in RSSI signal data are captured using a 5G transceiver setup established using Ettus E312 software-defined radio. There are seven files in the database, with a minimum of about 270 million samples. Each file contains the RSSI against a number of active drones, which gives a unique view on the variability of signal strength for multi-drone cases. This would naturally lead to the use of that data for training machine learning models for application in security, indoor localization, and drone traffic management.