中国移动通信有限公司研究院,北京 100053
翁思俊(1988- ),女,中国移动通信有限公司研究院研究员,主要研究方向为IP承载网及智算IP网络领域的技术、标准制定和网络推进。
颜宇(1978- ),女,中国移动通信有限公司研究院项目经理,主要研究方向为IP城域网、骨干网领域的技术、标准制定及现网推进等。
杨新国(1981- ),男,中国移动通信有限公司研究院项目经理,主要研究方向为家庭宽带业务及IP城域网领域的相关技术、标准制定及现网推进等。
宋健(1983- ),男,中国移动通信有限公司研究院项目经理,主要研究方向为智算IP网络新架构、新业务的洞察分析和技术规划等。
姜文颖(1977- ),女,中国移动通信有限公司研究院承载网室技术经理,主要研究方向为下一代互联网、IPv6+基础协议、AI广域网、超高速以太网等。
程伟强(1980- ),男,中国移动通信有限公司研究院基础网络技术研究所副所长、正高级工程师,主要研究方向为网络领域技术和标准制定等。
收稿:2026-02-28,
修回:2026-03-19,
录用:2026-04-16,
网络首发:2026-07-21,
纸质出版:2026-06-20
移动端阅览
翁思俊,颜宇,杨新国等.面向智能体互联网的计算型智能宽带网络网关架构及应用[J].电信科学,2026,42(06):21-35.
Weng Sijun,Yan Yu,Yang Xinguo,et al.Architecture and application of computing intelligent broadband network gateway for the AI agent Internet[J].Telecommunications Science,2026,42(06):21-35.
翁思俊,颜宇,杨新国等.面向智能体互联网的计算型智能宽带网络网关架构及应用[J].电信科学,2026,42(06):21-35. DOI: 10.11959/j.issn.1000-0801.DXKX260133.
Weng Sijun,Yan Yu,Yang Xinguo,et al.Architecture and application of computing intelligent broadband network gateway for the AI agent Internet[J].Telecommunications Science,2026,42(06):21-35. DOI: 10.11959/j.issn.1000-0801.DXKX260133.
生成式AI与大语言模型推动互联网向智能体(AI agent)互联网演进。宽带网络网关(broadband network gateway,BNG)作为宽带用户接入网络的关键设备,难以适配海量异构智能体超大规模管理与边缘算力的新需求。智能化宽带网络网关(intelligent BNG,iBNG)是传统BNG的智能化升级形态,但其仍面临系列挑战。面向智能体互联网,提出计算型iBNG创新架构,系统阐述其技术架构与关键技术体系,并结合智慧家庭、无人商业、小型工业三大典型场景探讨应用路径。该架构深度融合“联接-算力-智能”能力,通过内生算力与智能管控一体化设计,为智能体互联网提供系统性接入网关解决方案。
The evolution of the Internet toward the AI agent Internet is driven by generative AI and large language models. As a key device for broadband user access to the network
the broadband network gateway (BNG) is difficult to adapt to the new requirements of ultra-large-scale management and edge computing power posed by massive heterogeneous AI agents. As an intelligent upgrade of traditional BNG
the intelligent BNG (iBNG) still faces a series of challenges. An innovative computing iBNG architecture for the AI agent Internet was proposed. Its technical architecture and key technology system were systematically elaborated
and its application paths were discussed in three typical scenarios: smart home
unmanned commerce
and small-scale industry. By deeply integrating the capabilities of “connection
computing power
and intelligence”
this proposed architecture provides a systematic access gateway solution for the AI agent Internet through the integrated design of endogenous computing power and intelligent management and control.
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