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Enabling technologies for AI empowered 6G massive radio access networksopen accessEnabling technologies for AI empowered 6G massive radio access networks
- Other Titles
- Enabling technologies for AI empowered 6G massive radio access networks
- Authors
- 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.
- Issue Date
- Jun-2023
- Publisher
- Korean Institute of Communication Sciences
- Keywords
- 6G; AI-assisted networking; Edge AI; Massive radio access networks
- Citation
- ICT Express, v.9, no.3, pp 341 - 355
- Pages
- 15
- Journal Title
- ICT Express
- Volume
- 9
- Number
- 3
- Start Page
- 341
- End Page
- 355
- ISSN
- 2405-9595
2405-9595
- Abstract
- 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)
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Related Researcher
- LEE, WON CHEOL
- College of Information Technology (Department of IT Convergence)