Enabling technologies for AI empowered 6G massive radio access networks

Md Shahjalal, Woojun Kim, Waqas Khalid, Seokjae Moon, Murad Khan, Shu Zhi Liu, Suhyeon Lim, Eunjin Kim, Deok Won Yun, Joohyun Lee, Won Cheol Lee, Seung Hoon Hwang, Dongkyun Kim, Jang Won Lee, Heejung Yu, Youngchul Sung, Yeong Min Jang

Research output: Contribution to journalReview articlepeer-review

3 Citations (Scopus)


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 AI 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.

Original languageEnglish
JournalICT Express
Publication statusAccepted/In press - 2022

Bibliographical note

Funding Information:
This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2022-0-00590 , Industrial small cell system supporting 5G multi-band).

Publisher Copyright:
© 2022 The Author(s)

All Science Journal Classification (ASJC) codes

  • Software
  • Information Systems
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence


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