计算机科学
编配
组分(热力学)
配置设计
可靠性(半导体)
分布式计算
控制(管理)
网络体系结构
建筑
计算机网络
配置管理(ITSM)
领域(数学分析)
方案(数学)
控制系统
网络拓扑
作者
Stefan Windmann,Janis Albrecht,Maxim Friesen,Jürgen Jasperneite
标识
DOI:10.1109/etfa65518.2025.11205555
摘要
In this paper, the use of Large Language Models (LLMs) for the configuration of hybrid TSN/5G networks is investigated. We discuss promising use cases where LLMs offer significant potential to simplify complex configuration tasks. Particularly, we consider two important scenarios: In the first scenario, the LLM functions as an engineering component enhancing traditional network control entities such as the Centralized User Configurations (CUCs) and Centralized Network Configurations (CNCs) of TSN networks and interacting with the 5G control plane. In the second scenario, the LLM serves as an interactive assistance tool for users performing manual configuration tasks. For these use cases, an LLM-based architecture for network configuration is proposed, which consists of a Retrieval-Augmented Generation (RAG) system, a verification component, and an orchestration layer. Within the framework of this architecture, we introduce LLM-based methods to enhance the reliability of configuration in complex real-time networks, leveraging strategies such as divide and conquer, prompt engineering, and verification.
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