1、（2022）6G Native AI Architecture andTechnologies White PaperChina Mobile Research Institute（CMRI）Contents1Preface.12Driving Forces.22.1Challenges of 5G intelligent networks.22.2New scenarios of 6G ubiquitous intelligence.33Definition and Scope.43.1Definition of 6G Native AI.43.2Scope of 6G Native AI.

2、44New Idea.54.1Quality of AI service(QoAIS).54.2AI lifecycle orchestration management.94.3Deep integration of AI computing and communication.105New Architecture.125.1Data plane.145.2Smart plane.165.3Extended control and user planes.186New technologies.206.1AI model selection and finetuning.206.2AI m

3、odel training with terminal and network collaboration.226.3AI model inference with terminal and network collaboration.246.4AI performance pre-validation based on digital twin.267Summary and Outlook.27Abbreviations.30Authors.30Reference.31China Mobile6G Native AI Architecture and Technologies white p

4、aper11 PrefaceArtificial intelligence(AI)has developed rapidly in the past decade,which has surpassed theHuman Intelligence in modeling the nonlinear laws of big data samples and online accuratedecision-making in interaction with the environment,and has achieved great success in the fieldsof compute

5、r vision,natural language processing,and robot control.The reason for the rapiddevelopment of AI is,on one hand,the breakthrough of artificial intelligence algorithmsrepresented by deep learning and reinforcement learning;on the other hand,the rapid decline onthe cost and popularization of artificia

6、l intelligence computing power represented by GPUs.Since 5G,AI has gradually been widely used in mobile communication networks,such asnetwork configuration optimization at the network management level,resource schedulingoptimization at the network element level,and even the physical layer of the air