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.

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File Naming Convention

Files follow the format:

averaged_path_loss_dataset_{CITY}tx_loc{NUMBER}{ALTITUDE_CODE}

• 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

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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)

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Usage

Load the dataset in Python with:

from datasets import load_dataset

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