2025年5G-A×AI新技术、新服务、新模式白皮书_65页_3mb

报告摘要

5G-AxAI New Technology, New Case, New Model White Paper Summary

Core Content

This white paper explores the convergence of 5G-Advanced (5G-A) and Artificial Intelligence (AI), highlighting the technological, application, and business model innovations that arise from their integration. It emphasizes how this fusion is not only an inevitable industrial trend but also a key driver for the next phase of digital transformation across various sectors.

Main Points

1. 5G-A and AI Convergence

5G-A is entering a new stage with significant upgrades in speed, intelligence, and connectivity, providing a robust foundation for AI integration.
AI is evolving into a lightweight, generalized, and practical technology, capable of perception, prediction, decision-making, and generation.
The combination of 5G-A and AI is expected to unleash a multiplier effect, enhancing the value and efficiency of both technologies across industries.

2. 5G-A Commercial Progress

As of mid-2024, Release 18 of 3GPP has been completed, and Release 19 is expected by the end of 2025.
5G-A provides high-speed, low-latency, and ubiquitous connectivity, enabling new applications such as intelligent connected vehicles.
Over 60 operators globally have announced 5G-A commercial plans, with China Mobile leading in China by deploying 3CC aggregation networks and intelligent control planes.
5G-A is being implemented in more than 300 cities in China and is also being tested in regions like Asia-Pacific, Europe, and Latin America.

3. New AI Capabilities

AI Perception: Processes data from sensors to simulate human senses, enabling real-time monitoring in healthcare and environmental sensing.
AI Prediction: Uses historical and current data to forecast weather, financial trends, and traffic conditions.
AI Decision-making: Normalizes inputs to a unified vector space to make optimized decisions in autonomous driving and industrial automation.
AI Generation: Creates content in various forms (text, image, video) and supports creative fields and education.

4. Opportunities for Cross-domain Convergence

Efficient Resource Utilization: AI optimizes spectrum, bandwidth, and infrastructure through dynamic resource management, network slicing, and predictive traffic analytics.
User-Centric Network Operation: AI enables real-time monitoring, traffic shaping, context-aware prioritization, and end-to-end QoS assurance, ensuring a consistent and reliable user experience.
Network Automation: AI transforms network operations into task-centric models, reducing O&M costs and improving service delivery efficiency.
Green Network: AI helps balance energy saving and user experience by dynamically adjusting resource allocation and energy policies.

5. New Cases Enabled by 5G-AxAI

Telemedicine and Remote Healthcare: 5G-A supports real-time video consultations and remote surgeries, while AI enhances diagnostic accuracy and health monitoring.
Autonomous Vehicles and Transportation: 5G-A enables V2X communication, and AI supports real-time decision-making and predictive maintenance.
Manufacturing and Industry 4.0: AI optimizes production processes and robotic automation, supported by 5G-A's low-latency and high-bandwidth.
Retail and E-commerce: AI improves personalized customer experiences, inventory management, and smart store operations, with 5G-A ensuring real-time data transmission.
Smart Cities and Urban Infrastructure: 5G-A and AI enable smart traffic, public safety, and urban governance, supporting real-time monitoring and intelligent decision-making.

Key Technologies and Models

1. Network Intelligence

Enhances network performance and efficiency through AI-driven optimization and resource management.
Supports network slicing, dynamic spectrum allocation, and MIMO optimization.

2. Digital Twin Network Intelligence

Enables low-cost trial and high-efficiency innovation through virtual network environments.
Facilitates real-time simulation and predictive analysis for network planning and optimization.

3. Application Intelligence

Expands network service scope by integrating AI into applications.
Supports personalized services, automated decision-making, and integrated AI agents.

4. Sustainability Intelligence

Aims to achieve low-carbon goals through energy-efficient network operations.
Combines AI optimization with 5G-A capabilities to reduce energy consumption while maintaining high user experience.

New Business Models

ToC/BtoC: Three innovative models include personalized service delivery, AI-driven content creation, and integrated connectivity and computing.
ToB: Three models focus on industrial automation, smart logistics, and enterprise-level AI integration.

Global Industry Collaboration

The paper proposes global collaboration to accelerate the development and deployment of 5G-AxAI technologies.
It highlights the importance of industry partnerships and standardization to drive innovation and create new value.

Conclusion

The convergence of 5G-A and AI is set to transform industries, enhance network performance, and create new business models. This synergy is expected to boost efficiency, improve user experiences, and support the development of next-generation applications. The multiplier effect of this integration will be a key driver for digital transformation and sustainable growth in the telecommunications and broader tech ecosystem.