Special Session Ⅳ

Multi-Agent and Satellite Communication Technology (Submission Deadline: July 16, 2026)
多智能体与卫星通信技术

Chair:	Co-chairs:

Xuzhen Zhu	Yuexia Zhang	Yang Tian	Zijia Huang
Beijing University of Posts and Telecommunications, China	Beijing Information Science & Technology University, China	Beijing Information Science & Technology University, China	National Key Laboratory of Multi-domain Data Collaborative Processing and Control, China

Keywords:
Multi-Agent Collaboration (多智能体协同) Distributed Intelligent Decision-Making (分布式智能决策) Heterogeneous Network Resource Optimization (异构网络资源优化) Space-Ground Collaboration (星地协同) Satellite Communication Networking (卫星通信组网)

Topics:
Multi-Agent Task Allocation and Resource Scheduling (多智能体任务分配与资源调度) Multi-Agent Path Planning and Motion Coordination (多智能体路径规划与运动协同) Multi-Agent Communication and Information Sharing (多智能体通信与信息共享) Broadband Satellite Communication Transmission Technology (宽带卫星通信传输技术) Inter-Satellite Links and Space-Ground Collaboration (星间链路与星地协同) Anti-Interference and Encryption Technology for Satellite Communication (卫星通信抗干扰与加密技术) Low-Orbit Satellite Constellation Networking Technology (低轨卫星星座组网技术)

Summary:
With the theme of "Multi-Agent and Satellite Communication Technology", this session focuses on discussing the cutting-edge theories, technical methods and application practice progress of the two major fields. Satellite communication technology is a key support for realizing wide-area interconnection and space-ground communication, playing an important role in scenarios such as deep space exploration, emergency communication and low-orbit satellite networking. Its technological breakthroughs in networking optimization, space-ground coordination and anti-interference transmission are the core directions of industrial development. At the same time, relying on the capabilities of distributed intelligent decision-making, autonomous collaborative scheduling and heterogeneous resource adaptation, multi-agent technology has become a key technology for the research and development of intelligent systems in complex environments, showing significant advantages in task allocation, path planning and information sharing. The cross integration of multi-agent and satellite communication technologies can effectively solve the key industrial problems such as dynamic topological changes and resource constraints of satellite communication networks, as well as limited collaborative communication of large-scale agents, and further improve the robustness, self-organization ability and intelligence level of relevant systems. This session will bring together experts and scholars in the field around the world to jointly discuss the technical challenges and development trends of the two fields, promote the independent innovation and cross integration development of multi-agent and satellite communication technologies, and facilitate the in-depth combination of relevant academic achievements and industrial applications.
本专题以“多智能体与卫星通信技术”为主题，聚焦两大领域的前沿理论、技术方法与应用实践进展展开研讨。卫星通信技术是实现广域互联、天地互通的关键支撑，在深空探测、应急通信、低轨卫星组网等场景中发挥重要作用，其组网优化、星地协同、抗干扰传输等技术突破是行业发展的核心方向。同时，多智能体技术凭借分布式智能决策、自主协同调度、异构资源适配等能力，成为复杂环境下智能系统研发的关键技术，在任务分配、路径规划、信息共享等方面展现出显著优势。多智能体与卫星通信技术的交叉融合，能够有效解决卫星通信网络拓扑动态变化、资源约束，以及大规模智能体协同通信受限等行业关键问题，进一步提升相关系统的鲁棒性、自组织能力与智能化水平。本专题将汇聚全球领域内专家学者，共同探讨两大领域的技术挑战与发展趋势，推动多智能体与卫星通信技术的独立创新与交叉融合发展，促进相关学术成果与产业应用的深度结合。