端边协同的6G内生AI网络

摘要：面向6G智能终端AI业务原生、融合感知、智能协同业务需求，提出了一种端边协同的6G内生智能网络架构。该架构通过分层设计（基础设施层、模型管理层、资源管控层、业务编排层），实现了端边数据管控、模型动态协同及异构资源融合调度，具备“通信+计算+数据+模型”一体化服务能力。在内生智能网络架构基础上，提出了端边智能协同系统评估模型，并围绕数据管控、模型协同、资源调度3个维度，提出了高质量数据集构建、数据管控框架、参考模型库、端边模型协同、异构资源融合管控、灵活组网等关键技术，形成端边智能协同技术体系。

关键词：6G通信与人工智能融合；端边协同；资源管理

Abstract: To address the requirements of artificial intelligence (AI)-native service, integrated sensing, and intelligent collaboration for 6G AI terminals, an edge-device collaborative 6G AI-native network architecture is proposed. The architecture adopts a hierarchical design (infrastructure layer, model management layer, resource control layer, and service orchestration layer) to achieve core capabilities such as edge-device data handling, dynamic model collaboration, and integrated heterogeneous resource scheduling, providing integrated "communication + computing + data + model" service capabilities. Based on this architecture, an edge-device AI collaborative system evaluation model is established. Focusing on three key dimensions—data management, model collaboration, and resource scheduling—key technologies are proposed, including high-quality dataset construction, data management framework, reference model library, edge-device model coordination, heterogeneous resource control, and flexible networking, forming a comprehensive edge-device intelligent collaboration technology system.

Keywords: convergence of 6G communication and artificial intelligence; edge-device collaboration; resource management