Enabling technologies for AI empowered 6G massive radio access networks

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Predictably, the upcoming six generation (6G) networks demand ultra-massive interconnectivity comprising densely congested sustainable small-to-tiny networks. The conventional radio access network (RAN) will be redesigned to provide the necessary intelligence in all areas to meet required network flexibility, full coverage, and massive access. In this respect, this paper focuses on intelligent massive RAN (mRAN) architecture and key technologies fulfilling the requirements. Particularly, we investigate potential artificial intelligence algorithms for network and resource management issues in 6G mRAN. Furthermore, we summarize the research issues in edge technologies and physical layer intelligence on 6G network architecture. & COPY; 2022 The Author(s). Published by Elsevier B.V. on behalf of The Korean Institute of Communications and Information Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Publisher
ELSEVIER
Issue Date
2023-06
Language
English
Article Type
Article
Citation

ICT EXPRESS, v.9, no.3, pp.341 - 355

ISSN
2405-9595
DOI
10.1016/j.icte.2022.07.002
URI
http://hdl.handle.net/10203/310959
Appears in Collection
EE-Journal Papers(저널논문)
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