Leveraging Explainable AI for 3D Geometry-Based Channel Status Prediction in UAV-Assisted Communication Networks
Accurate prediction of receiver state is vital for optimizing network performance in urban settings, where rapid spatial variations in channel conditions pose significant challenges to communication quality. This paper presents a Machine Learning-base
Authors
- Alberto Gotta (ORCID: https://orcid.org/0000-0002-8134-7844)
- Pietro Ducange (ORCID: https://orcid.org/0000-0003-4510-1350)
- Pietro Cassará (ORCID: https://orcid.org/0000-0002-3704-4133)
- Ladan Gholami (ORCID: https://orcid.org/0000-0003-0917-865X)
Institutions
- University of Pisa (IT)
- Institute of Information Science (SI)
Publication Details
- Published
- 2025-08-26
- DOI
- https://doi.org/10.36227/techrxiv.175624563.36832470/v1
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Dipartimenti di Eccellenza
- European Commission