1、1 Abstract This white paper defines concepts and terms concerning 6G network artificial intelligence(AI).It also provides definitions of network AI levels and categories,taking into account the different levels and aspects of network-AI integration in 6G,as well as new services(e.g.AIaaS)enabled by
2、network AI.By clarifying the basic concepts and defining terms for network AI,this white paper aims to facilitate further discussion and consensus building on network AI scenarios,requirements,architectures,algorithms,and procedures(work management and control)in 6GANA working groups.2 Contents 1 Ba
3、ckground.4 2 Definitions of Concepts and Terms.5 2.1 Concepts and Terms of Network AI.5 2.2 Quality of AI Service:QoAIS.5 2.3 Knowledge,Model,and Algorithm.7 2.4 Clarification of Related Concepts.10 2.4.1 Network Intelligentization.10 2.4.2 Native AI.10 3 Definitions of Network AI Levels and Categor
4、ies.12 3.1 Definitions of Network AI Levels.12 3.2 S0-Categories of AI4NET.13 3.3 S1-Categories of Connection 4AI.14 3.4 S2-Categories of Computing Fusion.16 3.5 S3-Categories of Data Services.18 3.6 S4-Categories of Algorithm Fusion.19 3.7 S5-Categories of Orchestration and Management Services.21 4
5、 Conclusion.24 References.25 Acronyms and Abbreviations.26 3 Authors Contributor Organization Chenghui Peng,Zhe Liu,Fei Wang,Jun Wang Huawei Juan Deng,Gang Li,Junshuai Sun China Mobile Wenjing Li,Peng Yu,Lei Feng,Fanqin Zhou Beijing University of Posts and Telecommunications Li Yang,Feng Xie,Honghui
6、 Kang ZTE Da Wang,Sen Bian AsiaInfo Xiaoyan Duan,Ming Ai CICT Mobile Communication Technology Co.,Ltd.Yang Yang,Mulei Ma,Chenyu Gong ShanghaiTech University Kaibin Zhang,Haibo Wen,Duan Chen,Fangfang Gu Nokia Shanghai Bell Yannan Yuan,Weiwei Chong vivo Xin You,Jingran Chen OPPO Tingting Yang,Jiahong