- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1687-1499
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Deep learning-based BackCom multiple beamforming for 6G UAV IoT networks ; volume:2021 ; number:1 ; day:9 ; month:3 ; year:2021 ; pages:1-17 ; date:12.2021
EURASIP journal on wireless communications and networking / European Association for Speech, Signal and Image Processing ; 2021, Heft 1 (9.3.2021), 1-17, 12.2021
- Klassifikation
-
Elektrotechnik, Elektronik
- Urheber
-
Qi, Fei
Li, Wenjing
Yu, Peng
Feng, Lei
Zhou, Fanqin
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13638-021-01932-4
- URN
-
urn:nbn:de:101:1-2021042819413624081630
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:49 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
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Beteiligte
- Qi, Fei
- Li, Wenjing
- Yu, Peng
- Feng, Lei
- Zhou, Fanqin
- SpringerLink (Online service)
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