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

doi:10.1016/j.icte.2022.07.002

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^*

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

67 Citations (Scopus)

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.

Original language	English
Pages (from-to)	341-355
Number of pages	15
Journal	ICT Express
Volume	9
Issue number	3
DOIs	https://doi.org/10.1016/j.icte.2022.07.002
Publication status	Published - 2023 Jun

Bibliographical note

Publisher Copyright:
© 2022 The Author(s)

Keywords

6G
AI-assisted networking
Edge AI
Massive radio access networks

ASJC Scopus subject areas

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

Access to Document

10.1016/j.icte.2022.07.002

Cite this

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title = "Enabling technologies for AI empowered 6G massive radio access networks",

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.",

keywords = "6G, AI-assisted networking, Edge AI, Massive radio access networks",

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

note = "Publisher Copyright: {\textcopyright} 2022 The Author(s)",

year = "2023",

month = jun,

doi = "10.1016/j.icte.2022.07.002",

language = "English",

volume = "9",

pages = "341--355",

journal = "ICT Express",

issn = "2405-9595",

publisher = "Korean Institute of Communications and Information Sciences",

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TY - JOUR

T1 - Enabling technologies for AI empowered 6G massive radio access networks

AU - Shahjalal, Md

AU - Kim, Woojun

AU - Khalid, Waqas

AU - Moon, Seokjae

AU - Khan, Murad

AU - Liu, Shu Zhi

AU - Lim, Suhyeon

AU - Kim, Eunjin

AU - Yun, Deok Won

AU - Lee, Joohyun

AU - Lee, Won Cheol

AU - Hwang, Seung Hoon

AU - Kim, Dongkyun

AU - Lee, Jang Won

AU - Yu, Heejung

AU - Sung, Youngchul

AU - Jang, Yeong Min

PY - 2023/6

Y1 - 2023/6

N2 - 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.

AB - 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.

KW - 6G

KW - AI-assisted networking

KW - Edge AI

KW - Massive radio access networks

UR - https://www.scopus.com/pages/publications/85135172179

U2 - 10.1016/j.icte.2022.07.002

DO - 10.1016/j.icte.2022.07.002

M3 - Review article

AN - SCOPUS:85135172179

SN - 2405-9595

VL - 9

SP - 341

EP - 355

JO - ICT Express

JF - ICT Express

IS - 3

ER -

Enabling technologies for AI empowered 6G massive radio access networks

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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