C-NWDAF:为网络数据分析功能设计基于云的多模型架构

Chien-Hsuan Chen, Huaijie Huang
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引用次数: 0

摘要

随着5G应用的爆炸式增长,B5G时代电信运营商面临的网络运营、管理和维护的规模和复杂性日益增加。3GPP定义的5G规范建立了网络数据分析功能(NWDAF)及其接口,允许各种网络功能通过订阅NWDAF获得AI模型推理,从而实现对5G核心网的智能化、自主化管理。本研究将使用云服务为NWDAF实现基于云的多模型架构。
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C-NWDAF: Designing a Cloud-based Multi-Model Architecture for Network Data Analytics Function
With the explosive growth of 5G applications, the scale and complexity of network operation, management, and maintenance have increased for telecommunications operators in the B5G era. The 5G specifications defined by 3GPP have established network data analytics functions (NWDAF) and their interfaces, allowing various network functions to obtain AI model inference through subscription to NWDAF, thus achieving intelligent and autonomous management of the 5G core network. This study will use cloud services to implement a cloud-based multi-model architecture for NWDAF.
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