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1、1/123AbstractEdge computing,as a key technology of the next generation of radio accessnetworks(RAN),has driven the decentralization of networks and computing facilities.Edge servers closer to user terminals can significantly reduce service latency and copewith emerging new scenarios.Simultaneously,t

2、he rapid development of artificialintelligence(AI)plays a significant role in enhancing the performance of edgecomputing,aiding edge devices in coping with the rapidly increasing data on the edge.Therefore,combining the local computing capability of edge data with the strongcomputing capabilities of

3、AI,known as edge intelligence,can enhance the dataprocessing capabilities on the edge,improve the overall performance of wirelesscommunication systems,and enhance user service experiences.Edge intelligence is ahot and rapidly developing field in recent years,and this white paper aims to analyzethe c

4、urrent research progress in edge intelligence.It mainly includes:(1)6G Edge Intelligence Networks and Infrastructure:Firstly,the edge-nativeintelligent architecture for 6G networks is analyzed.Then,the edge intelligencecomputing infrastructure is introduced,including edge intelligent hardware and cl

5、oudplatforms.Finally,the edge intelligence network infrastructure is described,includingthe edge intelligence access network and core network.(2)Key Technologies of Edge-Native Intelligence:It is introduced from theaspects of model lightweight,edge-cloud collaborative intelligence,edge intelligentde

6、ployment,and deep edge nodes.Edge intelligence in wireless federated learning isalso explained in detail,including model sparsification and model quantization infederated learning.(3)Applications of Edge-Native Intelligence:Typical applications of edge-nativeintelligence are analyzed,such as smart t