Agentic AI for Integrated Sensing and Communication: Analysis, Framework, and Case Study
Wenwen Xie, Geng Sun, Ruichen Zhang, Xuejie Liu, Yinqiu Liu, Jiacheng Wang, Dusit Niyato, Ping Zhang

TL;DR
This paper explores how agentic AI can enhance integrated sensing and communication (ISAC) systems in 6G networks by proposing a new framework and demonstrating its advantages through a case study.
Contribution
It introduces a novel agentic ISAC framework, reviews key characteristics of agentic AI and ISAC, and highlights the benefits of GenAI-based approaches for autonomous network operation.
Findings
Proposed a new agentic ISAC framework.
Demonstrated the framework's effectiveness in a case study.
Highlighted advantages of GenAI in ISAC optimization.
Abstract
Integrated sensing and communication (ISAC) has emerged as a key development direction in the sixth-generation (6G) era, which provides essential support for the collaborative sensing and communication of future intelligent networks. However, as wireless environments become increasingly dynamic and complex, ISAC systems require more intelligent processing and more autonomous operation to maintain efficiency and adaptability. Meanwhile, agentic artificial intelligence (AI) offers a feasible solution to address these challenges by enabling continuous perception-reasoning-action loops in dynamic environments to support intelligent, autonomous, and efficient operation for ISAC systems. As such, we delve into the application value and prospects of agentic AI in ISAC systems in this work. Firstly, we provide a comprehensive review of agentic AI and ISAC systems to demonstrate their key…
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Taxonomy
TopicsWireless Signal Modulation Classification · Advanced Wireless Communication Technologies · Indoor and Outdoor Localization Technologies
