6G网络架构设计白皮书---英文版_77页_2mb

报告摘要

6G Network Architecture Key Insights

This white paper proposes a comprehensive 6G network architecture, driven by the vision of full coverage, intelligent service, and ubiquitous connectivity. The architecture is built on ubiquitous infrastructure (wireless, computing, storage), integrated with native capabilities such as intelligence, computing, and security. Below is a structured summary of key aspects:

1. Vision

🚀 Immersive Experiences: Higher immersion, ubiquitous coverage, and new collaboration forms enabled by native AI, communication-sensing convergence, and data service capabilities.
🧠 Network Intelligence: Fully autonomous, self-organizing, and self-optimizing networks through native AI (AI-native networks, intent-based networks).
🌐 Connected Ecosystem: End-to-end ubiquitous computing, cloud-Edge-network-device collaboration to support diverse scenarios (e.g., XR, autonomous driving).

2. Requirements

🔄 Problem Statement: 5G limitations (centralized architecture, lack of flexibility) hinder multi-scenario demands.
Remedies:
- Network flexibility and programmability
- End-to-end distributed architecture to support low-latency scenarios
- Open data/service frameworks and multi-factor orchestration

3. Architecture

🧩 Design Principles:
- Simplicity, Convergence, Flexibility, Endogeneity, Openness.
System Architecture:
- Four Layers + Endogenous Enablement:
  - Network resource layer (ubiquitous resources)
  - Network function layer (programmable services)
  - Service capability exposure layer (open services)
  - Orchestration management (AI-driven autonomation)
  - Endogenous powers: AI, Security, Computing

4. Key Technologies

4.1 Distributed Network Tech

⚡ Edge/Cloud/Private Coexistence: Seamless interoperability of heterogeneous networks (edge, cloud, etc.) for distributed deployment.
🔗 Hybrid Centralized-Distributed Model: Achieves adaptive interconnectivity and mutual trust.

4.2 Network Programmable Tech

🤖 Whole-Stack Programmability: SRv6, P4-based protocols enable flexible routing, programmable user planes, and AI-driven configurations.

4.3 Service Tech

🛠️ Service-Based Architecture (ext. 5G): Encompasses control-plane, RAN, and UE services for end-to-end scenario adaptation.

4.4 Flexible Frequency Domain

📡 Carrier-Cascade & Uplink/Downlink Decoupling: Enhance spectral efficiency for 6G’s multi-band integration.

4.5 Stack-Free User Interface

Componentization + Parallelization: Enables adaptive, AI-driven network intelligence without rigid protocol stacks.

4.6 Data Services

📊 Distributed Data Plane: Supports secure, collaborative, real-time data processing; integrates blockchain for secure data sharing.

4.7 Computation-Network Integration

💻 Edge Computing Enablement: Native computing within network layers (AI, storage, models) to reduce latency and increase throughput.

4.8 Native Trustworthiness

🔐 Blockchain & Multi-Trust: Distributed ledger tech and multi-party trust mechanisms ensure endogenous security autonomy.

4.9 Generalized QoS

📊 Cross-Domain SLA: Integrated perception/multi-agent control for AI, computing, and sensing services.

4.10 Intelligent Endogenous

Distributed AI: Promotes federated learning and model splitting for real-time decisions near data sources.
Task-Centric AI: Task-oriented design for AI training/inference, maximizing resource efficiency.

5. Summary & Outlook

6G will achieve full-scenario autonomy, with core technologies synergizing:
- Distributed: ✅ Edge computing, programmable networks
- Intelligent: ✅ AI task execution, intent-based systems
- Trusted & Integrated: ✅ Blockchain data trust, computing-network convergence