6G网络内生AI技术白皮书（1.0）

Investment Rating - The report does not explicitly provide an investment rating for the industry. Core Insights - The integration of AI technology with 6G networks is an inevitable trend, enhancing both ecosystems and promoting mutual growth [3][8] - The report emphasizes the need for deep collaboration between industry, academia, and research to explore valuable future technologies in the realm of AI and 6G [3][11] - The vision for 6G networks includes a shift from traditional connectivity to a comprehensive platform that integrates communication, perception, computation, AI, and big data [8][10] Summary by Sections 1. Background - The development of 5G has marked a significant milestone in global communications, but the depth of application remains limited, with a need for killer applications [5] - 6G is currently in the early research and development stage, with many countries and organizations actively participating in its technological evolution [5][6] 2. Vision, Current Status, Pathways, and Principles - The vision for 6G networks includes deep integration of AI, aiming to provide high-performance, near-real-time AI applications and services [10] - The current status of the industry shows a strong push from both domestic and international organizations towards the integration of AI in 6G networks [11] - Development pathways focus on two aspects: AI for Network (AI4NET) and Network for AI (NET4AI), both driving the evolution of the technology [12][13] 3. Technical Solutions - AI for Net aims to enhance network performance and operational efficiency through AI technologies, addressing challenges faced by 5G [16][19] - Net for AI focuses on providing AI capabilities through the network, ensuring efficient resource allocation and service quality [25][26] - The report outlines specific technical goals for both AI for Net and Net for AI, emphasizing the need for a unified lifecycle management approach and resource decoupling [20][21][22] 4. Industry Initiatives - The establishment of organizations like 6GANA in China aims to promote the deep integration of AI with wireless networks [11] - International collaborations, such as the O-RAN Alliance and Next G Alliance, are working towards standardizing AI capabilities in 6G networks [11][12] 5. Future Directions - The report calls for a focus on developing robust, trustworthy AI applications within 6G networks, addressing potential security risks and ensuring service quality [28][29] - Emphasis is placed on creating a sustainable, low-cost implementation of AI within 6G networks, balancing energy consumption with performance [29]