无线电工程2025，Vol.55Issue(4)：726-738,13.DOI:10.3969/j.issn.1003-3106.2025.04.005
生成模型与网络优化:回顾与展望
Generative Models and Network Optimization:Review and Perspective
摘要
Abstract
The emergence and development of Generative AI(GenAI)have provided new opportunities for the advancement of network intelligence,and its application in critical foundational problems of network optimization has yielded remarkable achievements.GenAI not only demonstrates efficiency in tackling high-dimensional problems compared to traditional machine learning methods,but also shows potential for stronger generalization performance across multiple scenarios.Two cutting-edge paradigms,Generatire Diffusion Model(GDM)and Large Language Model(LLM),show distinct technical advantages.GDM generate high-accuracy solutions through iterative denoising,while LLM,enable semantic parsing of the original optimization problems via scalable autoregressive architectures.To advance related research,the current integration of generative models with network optimization is reviewed.Existing research in network domain is summarized from the perspectives of two cutting-edge generative model categories,i.e.GDM and LLM.Relevant works of generative models in related fields are also introduced.The various advantages and achievements of generative models in network optimization are summarized,and the current development stage and key challenges of generative models in network domain are analyzed,offering some insights for future research on integrating generative models with network optimization.关键词
生成模型/扩散模型/网络优化/资源管理/通信网络Key words
generative models/diffusion models/network optimization/resource management/communication networks分类
计算机与自动化引用本文复制引用
梁芮槐,杨博,陈鹏宇,李先进,薛一凡,曹雪琳,於志文,郭斌..生成模型与网络优化:回顾与展望[J].无线电工程,2025,55(4):726-738,13.基金项目
国家自然科学基金(61960206008) （61960206008）
国家自然科学基金优秀青年科学基金项目(海外) （海外）
秦创原引用高层次创新创业人才项目(QCYRCXM-2022-358,QCYRCXM-2022-240) National Natural Science Foundation of China(61960206008) （QCYRCXM-2022-358,QCYRCXM-2022-240）
Excellent Young Scientists Fund Project of National Natural Science Foundation of China(Overseas) （Overseas）
Shaanxi Qinchuangyuan High-level Innovation and Entrepreneurship Talent Project(QCYRCXM-2022-358,QCYRCXM-2022-240) （QCYRCXM-2022-358,QCYRCXM-2022-240）
