Agentic artificial intelligence (AI) offers a new research paradigm for distributed intelligence and resource orchestration in wireless edge networks. Autonomous agents can perceive dynamic network information in real time, including wireless link conditions, service demands, computing workloads, and energy supply, and translate service objectives into coordinated decisions on communication, computing, storage, and energy resources. By leveraging local observations, inter-agent information exchange, and execution feedback, they can dynamically optimize resource planning, allocation, and scheduling as network conditions evolve. However, realizing this vision faces multiple challenges, including heterogeneous node capabilities, partial observability, continuously fluctuating resource availability, and strong coupling among different resource types. Agent collaboration itself also introduces additional communication and computational overhead. These challenges call for scalable system architectures and efficient, resource-aware learning mechanisms tailored to diverse scenarios, ensuring service performance and resource efficiency while maintaining timely decision-making and operational reliability.
This special session aims to bring together researchers in wireless communications, edge computing, AI, and distributed systems to explore agent-driven resource orchestration methods for wireless networks, as well as advanced architectures and enabling technologies that support distributed intelligence. Contributions addressing theoretical foundations, architectural design, advanced learning methods, emerging application scenarios, and reproducible performance evaluation are welcome.
智能体式人工智能（Agentic AI）为无线边缘网络中的分布式智能与资源编排提供了全新研究范式。自主智能体可实时感知无线链路状态、业务需求、计算负载及能量供给等动态网络信息，将业务服务目标转化为通信、计算、存储与能量资源的协同决策；并依托局部观测、智能体间信息交互与执行反馈，随网络状态演化动态优化资源规划、分配与调度策略。然而，实现该愿景仍面临多重挑战：网络节点能力异构、环境仅部分可观测、资源可用性持续波动，以及多类型资源之间存在强耦合关系。智能体协作本身还会引入额外通信与计算开销，因此亟需面向多样化场景设计可扩展系统架构与资源感知的高效学习机制，在保障服务性能与资源效率的同时，兼顾决策时效性与运行可靠性。
本专题旨在汇聚无线通信、边缘计算、人工智能与分布式系统领域的研究人员，共同探讨智能体驱动的无线网络资源编排方法，以及支撑分布式智能的先进架构与使能技术。欢迎围绕理论基础、架构设计、前沿学习方法、新兴应用场景与可复现性能评估等方向投稿。本次专题征稿主题包括但不限于：
- Distributed agentic architectures and communication-efficient multi-agent collaboration mechanisms. 分布式智能体架构及通信高效的多智能体协作机制
- Network-state perception, context awareness, and goal-oriented autonomous decision-making. 网络状态感知、上下文感知与目标导向的自主决策
- Agentic AI-driven joint orchestration of communication, computing, storage, and energy resources. 基于智能体式人工智能的通信-计算-存储-能量联合资源编排
- Large language model (LLM)-enhanced and world-model-assisted multi-agent reinforcement learning frameworks. 大语言模型增强、世界模型辅助的多智能体强化学习框架
- Secure joint resource orchestration for trustworthy distributed agentic systems. 面向可信分布式智能体系统的安全联合资源编排
- Agent-driven resource orchestration in unmanned aerial vehicle (UAV) networks, vehicular networks, and industrial Internet of Things (IIoT) scenarios. 无人机网络、车联网及工业物联网场景下的智能体驱动资源编排
- Distributed agentic technologies for integrated sensing and communication (ISAC), cooperative perception, and autonomous control. 面向通感一体化、协同感知与自主控制的分布式智能体技术
- Digital twins, simulation platforms, experimental testbeds, and benchmark datasets for agentic wireless edge networks. 面向智能体式无线边缘网络的数字孪生、仿真平台、实验测试床与基准测试集
Chair: Assoc. Prof. Yan Lin, Nanjing University of Science and Technology, China
Yan Lin is currently an Associate Professor in the School of Electronic and Optical Engineering, Nanjing University of Science and Technology. She is a Senior Member of both IEEE and the China Institute of Communications (CIC). She has led and participated in several national and provincial projects, including National Natural Science Foundation of China. She has authored and co-authored more than 40 journal and conference papers, such as IEEE JSAC/TWC/TCOM/TVT/Network, and has been granted nearly 20 Chinese invention patents. She has served on the technical program committees of several IEEE conferences and as a reviewer for numerous IEEE journals and conferences. Her current research interests include integrated sensing, communication, and computing, anti-jamming communications and networking for unmanned swarms, and intelligent wireless resource management.
Co-chair: Assoc. Prof. Shu Xu, Nanjing University of Science and Technology, China
Shu Xu is currently an Associate Professor with the School of Electronic and Optical Engineering, Nanjing University of Science and Technology. He has led and participated in several national and provincial projects, including Young Scientists Fund of the National Natural Science Foundation of China, and National Key Research and Development Program of China. He has authored and co-authored more than 40 journal and conference papers, such as IEEE JSAC/TWC/TCOM/TVT/TCCN. His current research interests include cell-free massive MIMO networks, integrated sensing and communication (ISAC) systems, reciprocity calibration, and AI-based wireless communication techniques.
Co-chair: Assoc. Prof. Qianqian Wang, Jinling Institute of Technology, China
Qianqian Wang is currently an Associate Professor in the School of Software Engineering, Jinling Institute of Technology. She has led and participated in several national and provincial projects, including projects funded by the National Natural Science Foundation of China. She has published numerous papers in internationally recognized journals, including IEEE IoTJ, TNSM, TSC, and CL, as well as at relevant academic conferences. Her current research interests include edge computing, resource allocation and optimization in space–air–ground integrated networks, and agent-based resource scheduling methods.
Co-chair: Assoc. Prof. Xiaohui Li, Nanjing University of Posts and Telecommunications, China
Xiaohui Li received the Ph.D. degree in communication and information systems from the School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications (NUPT), Nanjing, China. She is currently an Associate Professor at the School of Communications and Information Engineering, NUPT. She has led and participated in several national and provincial projects. She has published numerous papers in internationally recognized journals, including IEEE TWC, IoTJ, WCL, and CL, as well as at relevant academic conferences. Her current research interests include ISAC, RIS, and Short packet transmission in space–air–ground integrated networks.
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