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Enabling technologies for AI empowered 6G massive radio access networks
- Shahjalal, Md.;
- Kim, Woojun;
- Khalid, Waqas;
- Moon, Seokjae;
- Khan, Murad;
- ... Kim, Dongkyun;
- 외 11명
WEB OF SCIENCE
62SCOPUS
85초록
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/).
키워드
- 제목
- Enabling technologies for AI empowered 6G massive radio access networks
- 저자
- Shahjalal, Md.; Kim, Woojun; Khalid, Waqas; Moon, Seokjae; Khan, Murad; Liu, ShuZhi; Lim, Suhyeon; Kim, Eunjin; Yun, Deok-Won; Lee, Joohyun; Lee, Won-Cheol; Hwang, Seung-Hoon; Kim, Dongkyun; Lee, Jang-Won; Yu, Heejung; Sung, Youngchul; Jang, Yeong Min
- 발행일
- 2023-06
- 유형
- Article
- 저널명
- ICT Express
- 권
- 9
- 호
- 3
- 페이지
- 341 ~ 355
- 언어
- ENG
- 출판사
- ELSEVIER
- 발행국가
- 네덜란드
- 분량
- 15 페이지
- ISSN
- E 2405-9595