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

Department of Electrical and Electronic Engineering

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

3 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 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 language	English
Journal	ICT Express
DOIs	https://doi.org/10.1016/j.icte.2022.07.002
Publication status	Accepted/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

Access to Document

10.1016/j.icte.2022.07.002

Cite this

@article{6be8f4a1f09244809d137cd2b35dc044,

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 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.",

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

year = "2022",

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

language = "English",

journal = "ICT Express",

issn = "2405-9595",

publisher = "Korean Institute of Communications Information Sciences",

}

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

N1 - 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)

PY - 2022

Y1 - 2022

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 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.

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 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.

UR - http://www.scopus.com/inward/record.url?scp=85135172179&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85135172179&partnerID=8YFLogxK

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

JO - ICT Express

JF - ICT Express

ER -

Enabling technologies for AI empowered 6G massive radio access networks

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this