6G will better serve thousands of industries

2023-04-12

At this year's National People's Congress and National People's Congress, Minister of Industry and Information Technology Jin Zhuanglong stated that China has ranked among the top in 5G in the world and is accelerating 6G research and development. 5G and AI technology have been widely applied in our production and daily life, and are playing an increasingly important role. 5G provides the foundation for the interconnection of all things, and various applications based on AI have penetrated into various fields. On the one hand, 5G continues to introduce AI based algorithms and solutions, continuously improving 5G network performance, opening a new intelligent dimension for 5G development; On the other hand, 5G continues to expand the application scenarios and space of AI, and high-speed and low latency connections drive more AI based applications. The continuous integration of 5G and AI technology will provide more possibilities for our production and daily life. According to the development laws of the mobile communication industry, the international standard interval for each generation is around 10 years. As the next generation mobile communication standard, 6G will undergo revolutionary evolution on the basis of existing 5G. 6G is expected to be commercially available around 2030, and the International Telecommunication Union has begun research on 6G related requirements. In the design of 6G, the further integration of mobile communication technology and AI technology will become the most important direction. To support various needs of 6G, building a "6G intelligent maintenance" has also become the core work of 6G design. Intelligent dimension is a new resource dimension based on big data and computing resources, based on AI technology, parallel to the time, frequency, and spatial domains of wireless mobile communication. The construction of intelligent dimensions will make 5G/6G more intelligent and efficient. The construction of intelligent maintenance is in a continuous line, and the construction of 5G intelligent maintenance has laid a solid foundation and experience for the design of 6G intelligent maintenance. 6G intelligent maintenance will create a new generation of intelligent endogenous networks based on a new system architecture. Compared to 5G, 6G has developed a more ambitious vision, providing higher indicators in terms of basic spectrum utilization, peak rate, latency, reliability, number of connections, energy consumption, and other dimensions to meet the emerging new business needs. As a fundamental design that meets the 6G vision, intelligent maintenance has broader development space and plays a more explicit role. For example, for basic wireless air port design, AI based design will comprehensively integrate with traditional communication modules and basic processes, comprehensively improving spectrum efficiency and system efficiency. For network architecture design, more control will be achieved through AI based algorithms. With the help of AI algorithms, traditional interlayer limitations will be broken and end-to-end integrated design will be implemented. At the same time, the 6G network will also provide more systematic support for AI related data flow transmission, and various AI business related data collection, model training, and model transmission will be continuously optimized. In recent years, with the rapid development of AI technology, wireless design based on AI has become the main direction of wireless mobile communication research. At the beginning of 5G network design, due to multiple factors, deep integration with AI technology was not considered, which made the construction of 5G intelligent dimensions mainly focused on enhanced design, making it difficult to fully leverage the advantages of AI technology. At the initial stage of 6G, 5G intelligent dimension design experience will be used for reference, and dimensions such as data processing, computing power distribution, AI model use and management, deterministic algorithm and AI algorithm selection will be comprehensively considered,

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