This Review consolidates publicly available aerial wireless measurement datasets collected using AERPAW. We organize signal-level, power-level, and KPI-level datasets under a unified taxonomy, harmonize metadata, and provide verified access with reproducible post-processing scripts. The curated catalog supports propagation modeling, machine learning, localization, and system-level evaluation for 5G-Advanced and emerging 6G aerial networks.
@article{arxiv.2510.08752,
title = {Curated Wireless Datasets for Aerial Network Research},
author = {Amir Hossein Fahim Raouf and Donggu Lee and Mushfiqur Rahman and Saad Masrur and Gautham Reddy and Cole Dickerson and Md Sharif Hossen and Sergio Vargas Villar and Anıl Gürses and Simran Singh and Sung Joon Maeng and Martins Ezuma and Christopher Roberts and Mohamed Rabeek Sarbudeen and Thomas J. Zajkowski and Magreth Mushi and Ozgur Ozdemir and Ram Asokan and Ismail Guvenc and Mihail L. Sichitiu and Rudra Dutta},
journal= {arXiv preprint arXiv:2510.08752},
year = {2026}
}