Enabling technologies for AI empowered 6G massive radio access networks

Enabling technologies for AI empowered 6G massive radio access networks
  • Shahjalal, M.; 
  • Kim, W.; 
  • Khalid, W.; 
  • Moon, S.; 
  • Khan, M.; 
  • ... Lee, W.-C.; 
  • 외 11명
Citations

WEB OF SCIENCE

67
Citations

SCOPUS

86

초록

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. © 2022 The Author(s)

키워드

6G; AI-assisted networking; Edge AI; Massive radio access networks; INTELLIGENT REFLECTING SURFACE; LEARNING-BASED APPROACH; RESOURCE-MANAGEMENT; TRAFFIC PREDICTION; CELLULAR NETWORKS; POWER ALLOCATION; MIMO SYSTEMS; DEEP; COMMUNICATION; CHALLENGES
제목
Enabling technologies for AI empowered 6G massive radio access networks
제목 (타언어)
Enabling technologies for AI empowered 6G massive radio access networks
저자
Shahjalal, M.; Kim, W.; Khalid, W.; Moon, S.; Khan, M.; Liu, S.; Lim, S.; Kim, E.; Yun, D.-W.; Lee, J.; Lee, W.-C.; Hwang, S.-H.; Kim, D.; Lee, J.-W.; Yu, H.; Sung, Y.; Jang, Y.M.
DOI
10.1016/j.icte.2022.07.002
발행일
2023-06
유형
Article
저널명
ICT Express
권
9
호
3
페이지
341 ~ 355