计算机工程与应用2026，Vol.62Issue(15)：24-36,13.DOI:10.3778/j.issn.1002-8331.2508-0273
6G网络场景下AI赋能的网络切片技术分析及展望
Survey and Prospects of AI-Empowered Network Slicing Technology in 6G Network Scenarios
摘要
Abstract
As 6G networks evolve toward ubiquitous coverage,inherent intelligence,and on-demand services,network slicing emerges as a key enabling technology.By leveraging virtualization and software-defined networking,it logically partitions physical networks to meet customized requirements across diverse scenarios.However,the ultra-large scale,dynamic topology,and service burstiness of 6G networks pose challenges to traditional slicing approaches,and the integration of artificial intelligence becomes an inevitable trend.Against this backdrop,this paper systematically reviews AI-enabled net-work slicing technologies.First,it introduces the core vision,application scenarios,and the"three-layer six-faced architec-ture"design of 6G networks,establishing a foundational framework for technical analysis.Next,it elucidates the concept,end-to-end architecture,and key technologies of network slicing,clarifying the core logic of slicing technology.Subse-quently,it classifies and summarizes AI-enabled network slicing research based on the differences in methodologies employed.Finally,addressing the evolving network requirements for 6G,the paper dissects the core challenges facing AI-enabled network slicing research and proposes potential solutions,offering guidance for future research directions.关键词
6G网络/网络切片/虚拟网络映射/服务功能链/强化学习Key words
6G networks/network slicing/virtual network embedding/service function chain/reinforcement learning分类
信息技术与安全科学引用本文复制引用
程雅鑫,谢钧,金凤林,田晨景,屈龙,喻鹏..6G网络场景下AI赋能的网络切片技术分析及展望[J].计算机工程与应用,2026,62(15):24-36,13.基金项目
陆军工程大学青年自主创新基金(KYZYJKQTZQ24003). （KYZYJKQTZQ24003）
