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In-orbit channel prediction: deep learning architectures for 6G non-terrestrial networks
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| Published in: | EURASIP Journal on Wireless Communications and Networking |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
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| _version_ | 1864030193366073346 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | EURASIP Journal on Wireless Communications and Networking |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:47577 |
| institution | FRELIP |
| journal_source_facet | EURASIP Journal on Wireless Communications and Networking |
| publishDate | 2026 |
| publishDateSort | 2026 |
| record_format | rss_article |
| spellingShingle | In-orbit channel prediction: deep learning architectures for 6G non-terrestrial networks Digital and Wireless Communication Technology & Engineering — Computing Technology & Engineering |
| sub_discipline_display | Technology & Engineering — Computing |
| sub_discipline_facet | Technology & Engineering — Computing |
| subject_display | Digital and Wireless Communication Technology & Engineering — Computing Technology & Engineering Digital and Wireless Communication Technology & Engineering — Computing Technology & Engineering |
| subject_facet | Digital and Wireless Communication Technology & Engineering — Computing Technology & Engineering |
| title | In-orbit channel prediction: deep learning architectures for 6G non-terrestrial networks |
| title_auth | In-orbit channel prediction: deep learning architectures for 6G non-terrestrial networks |
| title_full | In-orbit channel prediction: deep learning architectures for 6G non-terrestrial networks |
| title_fullStr | In-orbit channel prediction: deep learning architectures for 6G non-terrestrial networks |
| title_full_unstemmed | In-orbit channel prediction: deep learning architectures for 6G non-terrestrial networks |
| title_short | In-orbit channel prediction: deep learning architectures for 6G non-terrestrial networks |
| title_sort | in-orbit channel prediction: deep learning architectures for 6g non-terrestrial networks |
| topic | Digital and Wireless Communication Technology & Engineering — Computing Technology & Engineering |
| url | https://link.springer.com/article/10.1186/s13638-026-02604-x |