5G-Advanced网络技术演进白皮书（英）-20页_5mb

5G-Advanced Technology Evolution from a Network Perspective (2021) Summary

Core Content

The white paper outlines the evolution of 5G networks towards 5G-Advanced, emphasizing the need for continuous research and development to meet the growing demands of both consumer and industrial applications. It highlights the role of 5G in driving digital transformation across various sectors and the importance of integrating IT, CT, and OT technologies to support this evolution.

Main Views

• 5G is a cornerstone for digital transformation: 5G is essential for enabling the digital transformation of industries, with major economies globally investing in its long-term development.
• 5G-Advanced is the next step: The evolution of 5G to 5G-Advanced is necessary to enhance network capabilities, support new business models, and address the limitations of current 5G technology.
• Network intelligence is critical: The integration of AI and machine learning into network operations is a key enabler for improving efficiency, reducing costs, and enabling real-time decision-making.
• Convergence is a trend: The convergence of different access modes and networks (e.g., 5G, Wi-Fi, fixed networks) is essential to support the diverse needs of vertical industries and consumers.
• Enablement through new capabilities: Enhancing deterministic communication, interactive communication, and network slicing will be crucial to meet the specific requirements of industry applications.

Key Information

1. 5G Development

• As of April 2021, 162 5G networks in 68 countries and regions have been commercially deployed.
• Over 1,000 industry-specific applications are expected to benefit from 5G's high bandwidth, low latency, and strong connectivity.
• GSMA predicts 5G will increase the number of connections from 200 million in 2020 to 1.8 billion by 2025.
• The global 5G industry is still in its early stages, and the next 3–5 years will be critical for its development.
• 5G-Advanced was first proposed in the 3GPP PCG #46 meeting in April 2021, with R18 as the starting point for its evolution.

2. 5G-Advanced Architecture and Technical Trends

• 5G-Advanced needs to evolve from a consumer-centric mobile broadband (MBB) network to an industrial Internet core.
• The architecture should focus on cloud-native, edge network, and network as a service to enable cloud-network integration and computing-network integration.
• The Service-Based Architecture (SBA) in the 5G core network allows for flexible, modular, and application-focused network functions.
• SBA supports efficient management and control of network services, enabling automation and intelligence in network operations.

3. Key 5G-Advanced Technologies

• AI for Network:

  • NWDAF (Network Data Analytics Function): An AI+big data engine that provides real-time network analytics, closed-loop control, and flexible deployment.
  • MDAS (Management Data Analytics System): Enhances network management and orchestration through AI and machine learning.
  • Machine Learning: Enables intelligent processing and optimization of network resources.
  • Digital Twin: Supports network simulation, monitoring, and predictive maintenance.
  • Cognitive Network: Uses big data analytics to enhance network operations and adapt to complex services.
  • Intent-Based Network: Transforms network goals into real-time operations, ensuring alignment with service intent.

• Industry-Specific Networks:

  • Convergence of 5G with industry networks (e.g., IIoT, PLC control) will enable one network at the end for industrial applications.
  • Private networks allow for customized, secure, and isolated services tailored to enterprise needs.
  • 5G-LAN (5G Local Area Network) can replace traditional wired networks, reducing complexity and cost while supporting flexible group communication and QoS.
  • Future enhancements to 5G-LAN include multi-SMF group support and integration with fixed networks.

• Home Networks:

  • Home networks are expected to see a significant increase in mobile data traffic due to services like mobile gaming and HD TV.
  • Higher frequency bands are required for high data rate services, but indoor coverage remains a challenge.
  • Home networks require protocol conversion and bandwidth capabilities, with a focus on intelligent IoT and ubiquitous coverage.

• Other Key Technologies:

  • Interactive Communications: Supports real-time, immersive communication for applications like XR (Extended Reality).
  • Deterministic Communications: Ensures predictable and reliable transmission for critical industrial applications.
  • User Plane Customization: Enhances network flexibility and service differentiation.
  • Network Slicing: Provides customized network resources for different services and industries.
  • Positioning, Ranging, and Perception Enhancement: Improves accuracy and reliability for industrial applications.
  • Multicast and Broadcast Services: Supports efficient delivery of content and services.
  • Policy Control Enhancement: Enables dynamic and automated network management and service orchestration.

Conclusion

5G-Advanced represents a significant step in the evolution of 5G networks, aiming to provide intelligent, converged, and enabled services for both consumer and industrial applications. The integration of AI, cloud-native, and edge computing technologies will be essential to meet the growing demands of the digital economy and support the development of new business models. The white paper emphasizes the importance of continuous innovation and standardization to ensure 5G-Advanced can serve as the backbone of future smart industries and digital services.