智能科学与技术学报2023，Vol.5Issue(4)：494-504,11.DOI:10.11959/j.issn.2096-6652.202339
基于知识图谱的6G网络场景认知研究
Research on 6G network scenario cognition based on knowledge graph
摘要
Abstract
The 6G network covers the entire space,air,ground,and sea.For diversified and personalized scenarios,the 6G network needs to provide customized services,that is,on-demand services.In order to realize on-demand services in all domains and scenarios,accurate,real-time,and intelligent cognition of the characteristics of the scenarios is an impor-tant prerequisite.How to enable the network to autonomously and intelligently recognize different scenarios and services,convert them into scenario-specific network key performance indicator(KPI),and further efficiently schedule network re-sources is a key problem that urgently needs to be solved.This paper applies the knowledge graph to the cognitive recog-nition of network scenarios,forms a standardized description of 6G network scenarios,and builds a knowledge graph based on the 6G scenario ontology.At the same time,a scene cognition reasoning method based on knowledge graph em-bedding is proposed,which realizes the embedding learning of graph nodes and relationships and reasons about scene fea-ture nodes,achieving high accuracy.The method proposed in this paper helps to realize the autonomous control of the ser-vice life cycle of scene awareness,cognition,and on-demand services in the 6G full-scenario network,and has important innovation and guiding significance for improving the autonomy and intelligence of the next-generation network.关键词
6G全场景/场景认知/知识图谱/图嵌入/节点预测Key words
6G full scenario/scenario cognition/knowledge graph/graph embedding/node prediction分类
信息技术与安全科学引用本文复制引用
赵茁乔,承楠,陈劼,陈芳炯,李长乐..基于知识图谱的6G网络场景认知研究[J].智能科学与技术学报,2023,5(4):494-504,11.基金项目
国家重点研发计划(No.2020YFB1807700)National Key Research and Development Program of China(No.2020YFB1807700) （No.2020YFB1807700）
