AI-Enabled Integrated Sensing, Communication, and Computation Survey: Techniques, Status, and Perspectives

The rapid advancement of 6G technology has driven extensive research on integrated sensing, communication, and computation (ISCC), enabling applications in smart transportation, digital twins, and edge intelligence. ISCC aims to integrate communication, sensing, and computation functions to enhance system performance (e.g., energy efficiency, spectrum efficiency, and reduced latency) by designing an integrated architecture that comprehensively considers system resources and energy consumption. This article provides an overview of key ISCC technologies, research contents, challenges, and prospects. It starts by analyzing key technical points, introducing their development history and metrics, and then discusses the reasons for integrating these key technologies to lay the groundwork for ISCC research. Subsequently, this article categorizes and discusses existing ISCC research, ranging from different computational paradigms to emerging communication paradigms, highlighting the current research trends in ISCC. Additionally, it explores the interaction between ISCC and artificial intelligence (AI) and how they can be mutually beneficial in research. Finally, we propose challenges for future ISCC research based on existing studies and suggest potential directions and ideas for research combining new technologies. The integration of ISCC and AI is expected to offer strong support for intelligent 6G by enabling intelligent resource management, reducing AI task handling latency, and improving AI inference accuracy.