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

页码：12 / 13

页数：2

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