Enabling technologies for AI empowered 6G massive radio access networks
Md. Shahjalal, Woojun Kim, Waqas Khalid, Seok-Jae Moon, Murad Ali Khan, Shuzhi 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
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 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.