SHussain37/uav_pathloss_dataset

UAV-Assisted mmWave Path Loss Dataset

Overview

This dataset contains UAV-assisted mmWave path loss simulated across five diverse urban environments:

• —Munich-01
• —Munich-02
• —Helsinki
• —Manhattan
• —London

For each environment, ray-traced simulations were performed at:

• —4 UAV transmitter (TX) locations
• —3 UAV altitudes: 25m, 35m, and 45m

Each CSV file corresponds to a unique combination of environment, TX location, and altitude.

File Naming Convention

Files follow the format:

averagedpathlossdataset{CITY}txloc{NUMBER}{ALTITUDECODE}

• —CITY: {munich01, munich02, helsinki, manhattan, london}
• —NUMBER: {1, 2, 3, 4} → TX location index
• —ALTITUDE_CODE:
• —a = 25m altitude
• —b = 35m altitude
• —c = 45m altitude

Example: averaged_path_loss_dataset_london_tx_loc_1a → London, TX Location 1, altitude 25m

Dataset Columns

Each CSV file contains the following columns:

• —RX_X : Receiver X-coordinate (meters)
• —RX_Y : Receiver Y-coordinate (meters)
• —TX_X : Transmitter X-coordinate (meters)
• —TX_Y : Transmitter Y-coordinate (meters)
• —TX_Z : Transmitter altitude (meters)
• —Phi : Azimuth angle between TX and RX (degrees)
• —Distance_3d : 3D distance between TX and RX (meters)
• —LOS_mask : Line-of-sight indicator (1 = LOS, 0 = NLOS)
• —Is_building : Building penetration indicator (1 = RX inside building, 0 = outdoors)
• —Path_loss : Averaged path loss (dB)

Usage

Load the dataset in Python with:

from datasets import load_dataset

dataset = load_dataset("SHussain37/uav_pathloss_dataset")
print(dataset)