数据采集与处理2025，Vol.40Issue(3)：585-602,18.DOI:10.16337/j.1004-9037.2025.03.003
通信网络与AI大模型融合发展研究综述
Review on Integrated Development of Communication Networks and Large-Scale AI Models
瞿崇晓 1唐宇波 2吴高洁 2范长军 1张永晋 1刘硕1
作者信息
- 1. 中国电子科技集团公司第五十二研究所,杭州 310012
- 2. 智能博弈重点实验室,北京 100091
- 折叠
摘要
Abstract
With the rapid development of generative AI technologies,especially breakthroughs in the field of large language models(LLMs),both academia and industry are actively seeking deeper integration between these large-scale AI models and communication networks.This paper aims to explore this emerging field in depth by reviewing the latest research advancements.It provides a comprehensive analysis of how LLMs can enhance the intelligence of communication networks and how communication networks can improve the performance of LLMs.First,the paper introduces the mainstream Transformer-based architectures of LLMs,elaborating on their training processes and the mechanism of intelligent emergence.It then analyzes the intelligent applications of LLMs in network design,diagnostics,configuration,security,network language understanding,and specification analysis,and discusses the corresponding technical implementation methods.Furthermore,the paper explores the crucial role of communication networks in supporting the training,inference,and deployment of LLMs,with a focus on distributed LLM construction technologies based on cloud-edge collaboration and multi-agent LLM network construction solutions.Finally,the paper identifies several key research challenges that remain to be addressed and provides insights into future research directions.关键词
AI大模型/通信网络/融合与协同/Transformer/云边协同Key words
large-scale AI models/communication networks/integration and collaboration/Transformer/cloud-edge collaboration分类
计算机与自动化引用本文复制引用
瞿崇晓,唐宇波,吴高洁,范长军,张永晋,刘硕..通信网络与AI大模型融合发展研究综述[J].数据采集与处理,2025,40(3):585-602,18.
