AI/ML-Driven 6G Network Solutions with Energy Efficiency Considerations

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Author:Andreas Roessler, Miguel Lopez, Rouaa Diab, Renato L. G. Cavalcante, Ali Abdi, Christian Arendt, Carsten Bockelmann, Alireza Danaee, Marco Danger, Armin Dekorsy, Ali El Husseini, Gerhard Fettweis, Jochen Fink, Rick Fritschek, Pramesh Gautam, Muhammad Qurratulain Khan, Sachinkumar Bavikatti Mallikarjun, Ahmad Nimr, Mohammad Parvini, Erma Perenda, Robert-Jeron Reifert, Rafael F. Schaefer, Hans Dieter Schotten, Philipp Schulz, Aydin Sezgin, Slawomir Stanczak, Christian Wietfeld, Dirk Wübben
URL:https://ieeexplore.ieee.org/document/11404155
DOI:https://doi.org/10.1109/ACCESS.2026.3666644
ISSN:2169-3536
Journal:IEEE Access
Publisher:IEEE
Document Type:Research Article
Language:English
Year of first Publication:2026
Release Date:2026/03/02
Volume:14
Page Number:29
First Page:39617
Last Page:39645
Faculties / Organisational entities:RPTU in Kaiserslautern / Fachbereich Elektrotechnik und Informationstechnik / Funkkommunikation und Navigation
Open access state:Gold Open-Access
RPTU:Kaiserslautern
Research funding:BMBF
Created at the RPTU:Yes