摘要
相比5G三大经典应用场景,6G典型应用场景的内容和种类将更为丰富与繁多,如何客观高效地提炼6G应用场景成为一大挑战。基于此,采用聚类算法研究6G应用场景,首先考虑6G业务及性能指标,然后对6G业务进行指标需求数值收集和各指标评分,最后利用不同聚类算法分析样本数据。根据聚类结果提出了6G八大典型应用场景,可为业界6G研究提供一定参考。
Compared with the three classic 5G usage scenarios,the content and types of 6G typical usage scenarios will be more abundant and diverse.How to refine 6G usage scenarios objectively and efficiently has become a major challenge.Based on this,the clustering algorithm was used to study the 6G usage scenarios.Firstly,the 6G service and performance indicators were considered.Then,the demand values of 6G service were collected and the indicators were scored.Finally,the sample data were analyzed by different clustering algorithms.According to the clustering results,eight typical usage scenarios of 6G were proposed,which could provide some reference for 6G research in the industry.
作者
金宁
王庆扬
JIN Ning;WANG Qingyang(Research Institute of China Telecom Co.,Ltd.,Guangzhou 510630,China)
出处
《电信科学》
2022年第1期121-131,共11页
Telecommunications Science
关键词
6G
应用场景
聚类
6G
usage scenarios
clustering
