When AI meets Sustainable 6G

The integration of communication, artificial intelligence (AI), computing and sensing plays an important role in the evolution of 6G mobile networks. AI would enable 6G to move towards network autonomy and high-level customized services, thus supporting diverse, versatile, high-quality service and even ensuring the deterministic quality-of-service (QoS). To achieve this, the real-time requirements of intelligent optimization alongside the dual carbon constraints of energy consumption and emissions should be obeyed, which confronts various technique challenges like system architecture design, data extraction and analysis, and AI algorithms. This report introduces a novel approach leveraging wireless data knowledge graphs (KG) to drive the 6G wireless hierarchical native intelligence, and proposes a method for millisecond-level real-time intelligent optimization using critical feature data, offering an efficient, green, and lightweight solution to the integration of AI with 6G communication systems.