6G Network AI Architecture for Everyone-Centric Customized Services

被引：30

作者：

Yang, Yang ^{[1
,2
,3
]}

Ma, Mulei ^{[1
]}

Wu, Hequan ^{[4
]}

Yu, Quan ^{[3
,4
]}

You, Xiaohu ^{[3
,5
,6
]}

Wu, Jianjun ^{[7
]}

Peng, Chenghui ^{[7
]}

Yum, Tak-Shing Peter ^{[8
]}

Aghvami, A. Hamid ^{[9
]}

Li, Geoffrey Y. ^{[10
]}

Wang, Jiangzhou ^{[11
]}

Liu, Guangyi ^{[12
]}

Gao, Peng ^{[12
]}

Tang, Xiongyan ^{[13
]}

Cao, Chang ^{[13
]}

Thompson, John ^{[14
]}

Wong, Kat-Kit ^{[15
]}

Chen, Shanzhi ^{[16
]}

Wang, Zhiqin ^{[17
]}

Debbah, Merouane ^{[18
]}

Dustdar, Schahram ^{[19
]}

Eliassen, Frank ^{[20
]}

Chen, Tao ^{[21
]}

Duan, Xiangyang ^{[22
]}

Sun, Shaohui ^{[17
,28
]}

Tao, Xiaofeng ^{[29
]}

Zhang, Qinyu ^{[30
]}

Huang, Jianwei ^{[23
]}

Zhang, Wenjun ^{[24
]}

Li, Jie ^{[25
]}

Gao, Yue ^{[34
]}

Zhang, Honggang ^{[26
]}

Chen, Xu ^{[27
]}

Ge, Xiaohu ^{[37
]}

Xiao, Yong ^{[28
]}

Wang, Cheng-Xiang ^{[29
]}

Zhang, Zaichen ^{[37
]}

Ci, Song ^{[38
]}

Mao, Guoqiang ^{[30
]}

Li, Changle

Shao, Ziyu ^{[31
]}

Zhou, Yong

Liang, Junrui

Li, Kai

Wu, Liantao ^{[32
]}

Sun, Fanglei ^{[33
]}

Wang, Kunlun ^{[34
]}

Liu, Zening

Yang, Kun ^{[35
]}

Wang, Jun ^{[36
]}

机构：

[1] Hong Kong Univ Sci & Technol Guangzhou, IoT Thrust & Res Ctr Digital World Intelligent Th, Guangzhou 511453, Peoples R China

[2] Terminus Grp, Beijing 100027, Peoples R China

[3] Peng Cheng Lab, Shenzhen 518000, Peoples R China

[4] Chinese Acad Engn, Beijing 100088, Peoples R China

[5] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 211189, Peoples R China

[6] Purple Mt Labs, Nanjing 211111, Peoples R China

[7] Huawei Technol, Shanghai 201206, Peoples R China

[8] Qingdao City Univ, Dept Comp Sci & Technol, Qingdao 266106, Peoples R China

[9] Kings Coll London, London WC2R 2LS, England

[10] Imperial Coll London, London SW7 2AZ, England

[11] Univ Kent, Sch Engn, Canterbury CT2 7NT, England

[12] China Mobile, Beijing 100053, Peoples R China

[13] China Unicom, Beijing 100048, Peoples R China

[14] Univ Edinburgh, Sch Engn, Edinburgh EH9 3FG, Scotland

[15] UCL, Dept Elect & Elect Engn, London WC1E 6BT, England

[16] China Acad Telecommun Technol, Beijing 100191, Peoples R China

[17] China Acad Informat & Commun Technol, Beijing 100191, Peoples R China

[18] Technol Innovat Inst, Abu Dhabi, U Arab Emirates

[19] TU Wien, A-1040 Vienna, Albania

[20] Univ Oslo, Dept Informat, N-0373 Oslo, Norway

[21] VTT Tech Res Ctr Finland, Espoo 02150, Finland

[22] ZTE Corp, Shenzhen 518057, Peoples R China

[23] Chinese Univ Hong Kong Shenzhen, Sch Sci & Engn, Shenzhen, Peoples R China

[24] Shanghai Jiao Tong Univ, Sch Elect Informat & Elect Engn, Shanghai, Peoples R China

[25] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai, Peoples R China

[26] Zhejiang Lab, Hangzhou, Peoples R China

[27] Sun Yat Sen Univ, Sch Comp Sci & Engn, Guangzhou, Peoples R China

[28] Huazhong Univ Sci & Technol, Sch Elect Informat & Commun, Wuhan, Peoples R China

[29] Purple Mt Labs, Nanjing, Peoples R China

[30] Xidian Univ, Sch Telecommun Engn, Xidian, Peoples R China

[31] ShanghaiTech Univ, Sch Informat Sci & Technol, Shanghai, Peoples R China

[32] East China Normal Univ, Software Engn Inst, Shanghai, Peoples R China

[33] Univ Shanghai Sci & Technol, Dept Comp Sci & Engn, Shanghai, Peoples R China

[34] East China Normal Univ, Sch Commun & Elect Engn, Shanghai, Peoples R China

[35] Univ Elect Sci & Technol China, Dept Elect Sci & Engn, Chengdu 610054, Peoples R China

[36] UCL, Dept Comp Sci, London, England

[37] Fuzhou Internet Things Open Lab, Fuzhou 350015, Peoples R China

[38] Shenzhen Smart City Technol Dev Grp, Shenzhen, Guangdong, Peoples R China

来源：

IEEE NETWORK | 2023年 / 37卷 / 05期

基金：

中国国家自然科学基金;

关键词：

Artificial intelligence; Task analysis; 6G mobile communication; Quality of experience; Computer architecture; 5G mobile communication; Cloud computing; Mobile communication; Performance evaluation; Energy efficiency; Service computing; Scheduling algorithms; INTELLIGENCE;

D O I：

10.1109/MNET.124.2200241

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Mobile communication standards were developed for enhancing transmission and network performance by using more radio resources and improving spectrum and energy efficiency. How to effectively address diverse user requirements and guarantee everyone's Quality of Experience (QoE) remains an open problem. The Sixth Generation (6G) mobile systems will solve this problem by utilizing heterogenous network resources and pervasive intelligence to support everyone-centric customized services anywhere and anytime. In this article, we first coin the concept of Service Requirement Zone (SRZ) on the user side to characterize and visualize the integrated service requirements and preferences of specific tasks of individual users. On the system side, we further introduce the concept of User Satisfaction Ratio (USR) to evaluate the system's overall service ability of satisfying a variety of tasks with different SRZs. Then, we propose a network Artificial Intelligence (AI) architecture with integrated network resources and pervasive AI capabilities for supporting customized services with guaranteed QoEs. Finally, extensive simulations show that the proposed network AI architecture can consistently offer a higher USR performance than the cloud AI and edge AI architectures with respect to different task scheduling algorithms, random service requirements, and dynamic network conditions.

引用

页码：71 / 80

页数：10

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