Curated Wireless Datasets for Aerial Network Research
This provides a resource for researchers working on aerial network problems, though it is incremental as it focuses on curation rather than new data or methods.
The authors consolidated publicly available aerial wireless measurement datasets collected using AERPAW, organizing them under a unified taxonomy with harmonized metadata and verified access. This curated catalog supports propagation modeling, machine learning, localization, and system-level evaluation for 5G-Advanced and emerging 6G aerial networks.
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.