天地一体化网络核心网容量预警

IF 1.9 3区 计算机科学 Q3 AUTOMATION & CONTROL SYSTEMS
Sai Han, Ao Li, Dongyue Zhang, Bin Zhu, Zelin Wang, Guangquan Wang, Jie Miao, Hongbing Ma
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引用次数: 0

摘要

随着国内外低轨卫星通信网络的快速发展,空地一体化网络将成为未来的发展趋势。对于资源有限的空间和地面网络而言,核心网会间接影响整个空地一体化网络资源的利用效率。为了提高核心网扩容建设的响应效率,有必要对核心网网元容量进行预警。本文基于空地一体化网络架构,从终端数量、登录用户数、节假日用户迁移规律等多维度进行考虑。利用人工智能(AI)技术,结合登录用户数、终端数预测接入和移动管理功能(AMF)的注册用户、统一数据管理(UDM)的授权用户、会话管理功能(SMF)的协议数据单元(PDU)会话。因此,可以提前预测核心网元的容量。根据真实网络的数据,证明所提出的方法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Early Warning of Core Network Capacity in Space-Terrestrial Integrated Networks
With the rapid development of low-orbit satellite communication networks both domestically and internationally, space-terrestrial integrated networks will become the future development trend. For space and terrestrial networks with limited resources, the utilization efficiency of the entire space-terrestrial integrated networks resources can be affected by the core network indirectly. In order to improve the response efficiency of core networks expansion construction, early warning of the core network elements capacity is necessary. Based on the integrated architecture of space and terrestrial network, multidimensional factors are considered in this paper, including the number of terminals, login users, and the rules of users' migration during holidays. Using artifical intelligence (AI) technologies, the registered users of the access and mobility management function (AMF), authorization users of the unified data management (UDM), protocol data unit (PDU) sessions of session management function (SMF) are predicted in combination with the number of login users, the number of terminals. Therefore, the core network elements capacity can be predicted in advance. The proposed method is proven to be effective based on the data from real network.
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来源期刊
Journal of Systems Engineering and Electronics
Journal of Systems Engineering and Electronics 工程技术-工程:电子与电气
CiteScore
4.10
自引率
14.30%
发文量
131
审稿时长
7.5 months
期刊介绍: Information not localized
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