6G Network AI Architecture for Customized Services and Applications

被引:0
|
作者
Yang, Yang [1 ,2 ,3 ]
Tao, Xiaofeng [4 ]
Aghvami, Abdol Hamid [5 ,6 ]
Xie, Jiang [7 ]
Eliassen, Frank [8 ]
Luo, Xiliang
机构
[1] HKUST Guangzhou, Guangzhou, Guangdong, Peoples R China
[2] Peng Cheng Lab, Shenzhen, Guangdong, Peoples R China
[3] Shenzhen Smart City Technol Dev Grp, Shenzhen, Guangdong, Peoples R China
[4] Beijing Univ Posts & Telecommun BUPT, Beijing, Peoples R China
[5] Kings Coll London KCL, Telecommun Engn, London, England
[6] KCL, Ctr Telecommun Res, London, England
[7] Univ N Carolina, Charlotte, NC USA
[8] Univ Oslo, Oslo, Norway
来源
IEEE NETWORK | 2023年 / 37卷 / 02期
关键词
Special issues and sections; 5G mobile communication; Cloud computing; Edge computing; 6G mobile communication; Artificial intelligence; Computer architecture; Computer applications; Virtual reality; Quality of experience;
D O I
10.1109/MNET.2023.10239351
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The Fifth Generation (5G) mobile systems have adopted cloud computing and edge computing to support customized services in different application scenarios, such as smart cities, metaverse, interactive Virtual Reality (VR) games, intelligent manufacturing, and autonomous driving. The current 5G network architecture decouples the basic functions of data sensing, communication, and computing at user terminals, mobile networks, and cloud/edge, respectively. Cross-domain resource coordination and service orchestration require in-depth domain knowledge and rich experiences, and hence are very complicated and time-consuming. It is, therefore, very challenging to effectively coordinate heterogeneous resources in distributed facilities for providing agile, stable, and customized services with guaranteed Quality of Experience (QoE) for everyone in dynamic mobile environments.
引用
收藏
页码:12 / 13
页数:2
相关论文
共 50 条
  • [21] Cognitive Intelligence Based 6G Distributed Network Architecture
    Xiaodong Duan
    Tao Sun
    Chao Liu
    Xiao Ma
    Zheng Hu
    Lu Lu
    Chunhong Zhang
    Benhui Zhuang
    Weiyuan Li
    Shangguang Wang
    China Communications, 2022, 19 (06) : 137 - 153
  • [22] Distributed Intelligence Analysis Architecture for 6G Core Network
    Sun, Wen
    Sun, QiBo
    BIO-INSPIRED COMPUTING: THEORIES AND APPLICATIONS, PT 2, BIC-TA 2023, 2024, 2062 : 381 - 395
  • [23] An Experimental Study on 6G Distributed Network Architecture and Technology
    Zhang, Ruiqi
    Lin, Yilin
    Chen, Sibo
    He, Yufeng
    2024 9TH INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS, ICCCS 2024, 2024, : 587 - 592
  • [24] Scalability of Distributed Intelligence Architecture for 6G Network Automation
    Majumdar, Sayantini
    Trivisonno, Riccardo
    Carle, Georg
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022, : 2321 - 2326
  • [25] Challenges of CPS/IoT Network Architecture in 6G Era
    Kato, Takahiko
    Fukumoto, Norihiro
    Sasaki, Chikara
    Tagami, Atsushi
    Nakao, Akihiro
    IEEE ACCESS, 2024, 12 : 62804 - 62817
  • [26] Editorial: Towards 6G Networks: Technologies, Services and Applications
    Nguyen-Son Vo
    Antonino Masaracchia
    Zhichao Sheng
    Thanh Tuan Nguyen
    Mobile Networks and Applications, 2023, 28 : 1142 - 1144
  • [27] Centimeter Positioning Accuracy using AI/ML for 6G Applications
    Kotturi, Sai Prasanth
    Ganti, Radha Krishna
    2024 IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING FOR COMMUNICATION AND NETWORKING, ICMLCN 2024, 2024, : 556 - 557
  • [28] Enabling Mobile AI Agent in 6G Era: Architecture and Key Technologies
    Chen, Ziqi
    Sun, Qi
    Li, Nan
    Li, Xiang
    Wang, Yang
    I, Chih-Lin
    IEEE NETWORK, 2024, 38 (05): : 66 - 75
  • [29] Exploration of NWDAF Development Architecture for 6G AI-Native Networks
    HE Shiwen
    PENG Shilin
    DONG Haolei
    WANG Liangpeng
    AN Zhenyu
    ZTE Communications, 2025, 23 (01) : 45 - 52
  • [30] Advancing 6G: Survey for Explainable AI on Communications and Network Slicing
    Sun, Haochen
    Liu, Yifan
    Al-Tahmeesschi, Ahmed
    Nag, Avishek
    Soleimanpour, Mohadeseh
    Canberk, Berk
    Arslan, Huseyin
    Ahmadi, Hamed
    IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY, 2025, 6 : 1372 - 1412