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<p>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.</p>

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Curated wireless datasets for aerial network research

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月3日

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  • Amir Hossein Fahim Raouf,
  • Donggu Lee,
  • Mushfiqur Rahman,
  • Saad Masrur,
  • Gautham Reddy,
  • Cole Dickerson,
  • Md Sharif Hossen,
  • Sergio Vargas Villar,
  • Anıl Gürses,
  • Simran Singh,
  • Sung Joon Maeng,
  • Martins Ezuma,
  • Christopher Roberts,
  • Mohamed Rabeek Sarbudeen,
  • Thomas J. Zajkowski,
  • Magreth Mushi,
  • Ozgur Ozdemir,
  • Ram Asokan,
  • Ismail Guvenc,
  • Mihail L. Sichitiu,
  • Rudra Dutta

摘要

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.