A survey on AI-empowered task-oriented sensing, communication, and computation in 6G networks

Deeply empowered by artificial intelligence (AI) technologies, integrated sensing, communication, and computation (ISCC) architectures have emerged as a critical component in the sixth-generation (6G) mobile communication networks. This survey is conducted to provide a thorough analysis of AI-empowered task-oriented sensing, communication, and computation (AI-TSCC) in 6G networks. At first, the intrinsic relationships among sensing, communication, and computation are systematically reviewed, and the limitations of current technologies are identified. Then, the AI-empowered methods for performance improvement in ISCC are analyzed, including AI-based TSCC and AI-assisted TSCC. Next, the tasks are classified into three categories according to their characteristics. Focusing on the optimization performance of AI-TSCC systems, model-driven metrics, task execution metrics, and other relevant metrics are introduced. Furthermore, existing technical bottlenecks and future research directions are summarized to provide theoretical and practical guidelines for building efficient 6G networks.