6G comprehensive intelligence: network operations and optimization based on Large Language Models
CoRR(2024)
摘要
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.
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