基于知识图谱的6G网络场景认知研究

doi:10.11959/j.issn.2096-6652.202339

Abstract

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 important 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 resources is a key problem that urgently needs to be solved. This paper applies the knowledge graph to the cognitive recognition 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 embedding is proposed, which realizes the embedding learning of graph nodes and relationships and reasons about scene feature nodes, achieving high accuracy. The method proposed in this paper helps to realize the autonomous control of the service 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.

Key words: 6G full scenario, scenario cognition, knowledge graph, graph embedding, node prediction

CLC Number:

TP391.1

Zhuoqiao ZHAO, Nan CHENG, Jie CHEN, et al. Research on 6G network scenario cognition based on knowledge graph[J]. Chinese Journal of Intelligent Science and Technology, 2023, 5(4): 494-504.

Figures/Tables 13

References 19

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实体类型	举例
场景	URLLC, satellite network
环境	room, sea, highway
服务	education, sending a message
资源	bandwidth, IP address
主体	user, car, service provider
KPI	latency, reliability
方法	massive MIMO, tHz, digital twins
特征	temporal traffic variations
数据信息	rendering information
能力	achieve a Gbps-level

关系类型	举例
继承类关系	is_part_of, subclass_of, is_a
属性类关系	has_scenario,has_KPI
需求类关系	solution_of, require, purpose
能力类关系	cause, limit, improve, capable_of
比较类关系	higher, equal, larger

类名	类属性
主体	{id, name, UE_state, UE_type, priority, access}
环境	{id, name, network_type, service_area, density}
服务	{id, name}
KPI	{id, name, value}

模型	平均排名	Hits@10/%
TransE	19	58.3
TransH	10	71.7
TransR	18	60
BERT	11	82.86

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Research on 6G network scenario cognition based on knowledge graph

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