Curated Wireless Datasets for Aerial Network Research
Fuente:
arXiv
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| Auteurs principaux: | , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866910058133061632 |
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| author | Raouf, Amir Hossein Fahim Lee, Donggu Rahman, Mushfiqur Masrur, Saad Reddy, Gautham Dickerson, Cole Hossen, Md Sharif Villar, Sergio Vargas Gürses, Anıl Singh, Simran Maeng, Sung Joon Ezuma, Martins Roberts, Christopher Sarbudeen, Mohamed Rabeek Zajkowski, Thomas J. Mushi, Magreth Ozdemir, Ozgur Asokan, Ram Guvenc, Ismail Sichitiu, Mihail L. Dutta, Rudra |
| author_facet | Raouf, Amir Hossein Fahim Lee, Donggu Rahman, Mushfiqur Masrur, Saad Reddy, Gautham Dickerson, Cole Hossen, Md Sharif Villar, Sergio Vargas Gürses, Anıl Singh, Simran Maeng, Sung Joon Ezuma, Martins Roberts, Christopher Sarbudeen, Mohamed Rabeek Zajkowski, Thomas J. Mushi, Magreth Ozdemir, Ozgur Asokan, Ram Guvenc, Ismail Sichitiu, Mihail L. Dutta, Rudra |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_08752 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Curated Wireless Datasets for Aerial Network Research Raouf, Amir Hossein Fahim Lee, Donggu Rahman, Mushfiqur Masrur, Saad Reddy, Gautham Dickerson, Cole Hossen, Md Sharif Villar, Sergio Vargas Gürses, Anıl Singh, Simran Maeng, Sung Joon Ezuma, Martins Roberts, Christopher Sarbudeen, Mohamed Rabeek Zajkowski, Thomas J. Mushi, Magreth Ozdemir, Ozgur Asokan, Ram Guvenc, Ismail Sichitiu, Mihail L. Dutta, Rudra Networking and Internet Architecture Signal Processing 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. |
| title | Curated Wireless Datasets for Aerial Network Research |
| topic | Networking and Internet Architecture Signal Processing |
| url | https://arxiv.org/abs/2510.08752 |