电信科学 ›› 2022, Vol. 38 ›› Issue (1): 121-131.doi: 10.11959/j.issn.1000-0801.2022013

所属专题: 6G

• 工程与应用 • 上一篇    下一篇

基于聚类算法的6G典型应用场景研究

金宁, 王庆扬   

  1. 中国电信股份有限公司研究院,广东 广州 510630
  • 修回日期:2022-01-08 出版日期:2022-01-20 发布日期:2022-01-01
  • 作者简介:金宁(1995- ),女,中国电信股份有限公司研究院研究员,主要研究方向为移动通信系统的关键技术、移动通信业务与应用场景
    王庆扬(1973- ),男,博士,中国电信股份有限公司研究院移动通信技术研究所所长、高级工程师,中国电信集团科学技术委员会委员、中国通信学会无线移动通信委员会副主任委员、IMT-2030(6G)推进组需求工作组组长,主要研究方向为移动通信系统的关键技术与业务、移动通信网络的部署与运营

Research on clustering algorithm based 6G typical usage scenarios

Ning JIN, Qingyang WANG   

  1. Research Institute of China Telecom Co., Ltd., Guangzhou 510630, China
  • Revised:2022-01-08 Online:2022-01-20 Published:2022-01-01

摘要:

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。

关键词: 6G, 应用场景, 聚类

Abstract:

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.

Key words: 6G, usage scenarios, clustering

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