New Data Network Architecture: From Reactive Post-collecting to Intelligent Proactive Pre-sensing
Pengyu Li, Yanxia Xing · 2023
With the emergence of scenarios that consume large amounts of data such as AI/ML (artificial intelligence and machine learning) and ISAC (Integrated sensing and communication) technologies, how to efficiently utilize data while protecting data privacy and security, reducing communication overhead, and improving data utilization efficiency have become one of the major research interests for 6G network technologies. Current mobile communication networks only use external data service nodes, and the sensing of data is based on consumer subscription, which cannot meet the data service requirements of 6G networks. We propose a data service network architecture for mobile communication networks that supports intelligent collaboration of distributed data service nodes; transforms reactive subscription mode into proactive sensing mode with the assistance of AI/ML analysis; enhances data sensing, processing and storage mechanisms through the flexible use of data rules and knowledge, thus effectively improving the overall data service capability; further, with this architecture, possible solutions are discussed in detail with emphasis on data sensing difficulties.