Gast ::
AI/ML-Driven 6G Network Solutions with Energy Efficiency Considerations
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In
IEEE access 14,, Seiten/Artikel-Nr.:39617-39645
2026
Online
DOI: 10.18154/RWTH-2026-02579
DOI: 10.1109/ACCESS.2026.3666644
URL: https://publications.rwth-aachen.de/record/1029774/files/1029774.pdf
Einrichtungen
Thematische Einordnung (Klassifikation)
DDC: 621.3
OpenAccess: 
PDF
Dokumenttyp
Journal Article (Review Article)
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-105030850258
WOS Core Collection: WOS:001717581500007
Interne Identnummern
RWTH-2026-02579
Datensatz-ID: 1029774
Beteiligte Länder
Germany
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