6G知识定义的编排与管控白皮书（英）_40页_2mb

Autonomous network operations and management (O&M) are essential for the 5G and future 6G eras due to their ability to handle evolving services and user experiences more efficiently. The current "human brain + AI + data-driven" approach is insufficient, leading to the "knowledge-defined orchestration and management" paradigm. This involves using pre-verified network knowledge to enhance decision-making, reduce dependency on human intervention, and support fault self-healing, thereby making networks autonomous.

Key components include a four-plane architecture: User Plane for interaction, Knowledge Plane for intelligent data processing and policy generation, Control Plane for delivery, and Data Plane for network operations. Core technologies derived from the white paper are:

• Network Telemetry: Enables real-time, fine-grained monitoring and data collection using protocols like gRPC and Google Protocol Buffer (GPB).
• Knowledge Representation: Utilizes knowledge graphs and logical reasoning to structure network data, with stages like acquisition, fusion, and reasoning.
• Policy Generation: Incorporates machine learning (e.g., reinforcement learning) for intelligent policy creation and resource scheduling.
• Resource Scheduling: Optimizes diverse network resources for low-latency and reliable services.
• Policy Verification: Uses digital twins and simulation for efficient policy validation.

Usage scenarios demonstrate the practical applications of knowledge-defined orchestration:

• Knowledge-Defined Intent-Based Networking (IBN): Translates user intents into network policies, supporting human-machine interaction and customization.
• Slice Orchestration: Facilitates flexible, full-lifecycle management of network slices across dynamic environments.
• Fault Self-Healing: Achieves automatic root cause analysis and fault rectification based on global network knowledge.
• Smart Home Networks: Enables intelligent resource scheduling and fault diagnosis for home IoT devices.
• Dual-Closed-Loop Architecture: Open-source practices like ONAP's "At-Will IBN" ensure closed-loop intent management and automation.

Conclusion and Outlook: In summary, knowledge-defined orchestration is critical for advancing autonomous networks, offering solutions to complexity and resource constraints in future communications. Recommendations include standardization efforts, key technology research, and open platform development across industries to accelerate adoption and evolution.