6G comprehensive intelligence: network operations and optimization based on Large Language Models

TL;DR

This paper proposes a 6G network architecture leveraging Large Language Models to enhance network performance, intelligence, and personalized services, demonstrating practical benefits through a network health management case study.

Contribution

It introduces a novel 6G network system architecture based on LLMs, emphasizing intelligent operation, data security, and health assessment capabilities.

Findings

LLM-based architecture improves network performance and intelligence.

The network health assessment system demonstrates practical application value.

Enhanced security and privacy support in 6G networks.

Abstract

The sixth generation mobile communication standard (6G) can promote the development of Industrial Internet and Internet of Things (IoT). To achieve comprehensive intelligent development of the network and provide customers with higher quality personalized services. This paper proposes a network performance optimization and intelligent operation network architecture based on Large Language Model (LLM), aiming to build a comprehensive intelligent 6G network system. The Large Language Model, with more parameters and stronger learning ability, can more accurately capture patterns and features in data, which can achieve more accurate content output and high intelligence and provide strong support for related research such as network data security, privacy protection, and health assessment. This paper also presents the design framework of a network health assessment system based on LLM and focuses on its potential application value, through the case of network health management system, it is fully demonstrated that the 6G intelligent network system based on LLM has important practical significance for the comprehensive realization of intelligence.