In-orbit channel prediction: deep learning architectures for 6G non-terrestrial networks.
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| Title: | In-orbit channel prediction: deep learning architectures for 6G non-terrestrial networks. |
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| Authors: | De Filippo, Bruno1, bruno.defilippo@unibo.it, Amatetti, Carla1, carla.amatetti2@unibo.it, Vanelli-Coralli, Alessandro1, alessandro.vanelli@unibo.it |
| Source: | EURASIP Journal on Wireless Communications & Networking; 4/30/2026, Vol. 2026 Issue 1, p1-28, 28p |
| Database: | Applied Science & Technology Source |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s13638-026-02604-x Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 1 Titles: – TitleFull: In-orbit channel prediction: deep learning architectures for 6G non-terrestrial networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: De Filippo, Bruno – PersonEntity: Name: NameFull: Amatetti, Carla – PersonEntity: Name: NameFull: Vanelli-Coralli, Alessandro IsPartOfRelationships: – BibEntity: Dates: – D: 30 M: 04 Text: 4/30/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16871472 Numbering: – Type: volume Value: 2026 – Type: issue Value: 1 Titles: – TitleFull: EURASIP Journal on Wireless Communications & Networking Type: main |
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