Research on Remote eSIM Provisioning Management Technology for 5G Terminal

Q3 Decision Sciences
Jun Lu;Guowei Huang;Wenke Kuai;Yiliang Xu
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引用次数: 0

Abstract

The use of eSIM in mobile terminals such as the Internet of Vehicles has become the general trend, and more and more enterprises have put forward clear requirements for the remote provisioning of eSIM. This paper aims to combine 5G technology to analyze remote eSIM provisioning management technology for terminal, and combine algorithm improvement to improve remote eSIM information management and control effects. Moreover, this paper describes in detail the three-layer communication structure in the communication model, the design of edge gateway nodes, and the query mechanism for cloud center request names and data resources. In addition, this paper uses experiments to evaluate the connectivity of the eSIM three-layer communication model and the characteristics of the NDN network. Through experimental research, it can be seen that the remote eSIM provisioning management model proposed in this paper has certain advantages when applied to the Internet of Vehicles compared with the existing remote provisioning management technologies for the Internet of Vehicles. This article takes the Internet of Vehicles as an example to conduct research. At the same time, its support for mobility can be well applied to the Internet of Vehicles to meet the mobility of terminal vehicles. Therefore, it can provide some reference in the subsequent development of Internet of Vehicles technology.
面向 5G 终端的 eSIM 远程供应管理技术研究
eSIM在车联网等移动终端中的应用已成为大势所趋,越来越多的企业对eSIM的远程调配提出了明确要求。本文旨在结合 5G 技术分析终端远程 eSIM 配置管理技术,并结合算法改进提高远程 eSIM 信息管理和控制效果。此外,本文还详细介绍了通信模型中的三层通信结构、边缘网关节点的设计以及云中心请求名称和数据资源的查询机制。此外,本文还通过实验来评估 eSIM 三层通信模型的连通性和 NDN 网络的特性。通过实验研究可以看出,与现有的车联网远程供应管理技术相比,本文提出的远程 eSIM 供应管理模式应用于车联网具有一定的优势。本文以车联网为例进行研究。同时,其对移动性的支持可以很好地应用于车联网,满足终端车辆的移动性。因此,它可以为后续车联网技术的发展提供一定的参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of ICT Standardization
Journal of ICT Standardization Computer Science-Information Systems
CiteScore
2.20
自引率
0.00%
发文量
18
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