面向无人机集群的通信与组网技术
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作者单位:

1.国防科技大学电子科学学院;2.军事科学院系统工程研究院

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TN929.5

基金项目:

国家资助博士后研究人员计划和中国博士后科学基金(BX20240493);国家自然科学基金资助项目(61931020, 62201584, 62371462)


Communication and networking technologies for Unmanned Aerial Vehicle swarms
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    摘要:

    无人机集群在军民领域应用前景广阔,发展迅速,面向集群的通信与组网技术是支撑其生成体系、发挥协同效能的关键,为此,系统梳理了面向无人机集群通信与组网的关键技术、研究现状和发展趋势。分析了无人机集群的典型应用场景和组网需求;从物理层、数据链路层和网络层分别深入论述关键问题和解决方案;结合无人机的信息物理融合特性,分析总结了通信、计算与控制的深度耦合效应及其联合优化方法;针对智能化赋能,剖析了“意图理解-环境适配-资源调度”三位一体的智能架构和最新研究进展,并面向工程化应用,探讨了高频段通信硬件优化、天线轻量化等关键问题;展望了无人机集群融入未来空天地一体化网络的前景和下一步发展方向,旨在为无人机集群通信与组网领域的顶层规划设计与未来关键技术攻关方向提供参考。

    Abstract:

    UAV (Unmanned aerial vehicle) swarms hold broad application prospects in both military and civilian domains, and are developing rapidly. Communication and networking technologies tailored for swarms are crucial for enabling their formation systems and synergistic effectiveness. To this end, key technologies, research status, and development trends in UAV swarm communication and networking were systematically reviewed. Specifically, typical application scenarios and networking requirements of UAV swarms were analyzed. Key challenges and corresponding solutions were thoroughly discussed at the physical layer, data link layer, and network layer, respectively. Furthermore, leveraging the cyber-physical fusion characteristics of UAVs, the deep coupling effects among communication, computation, and control, along with their joint optimization methods, were analyzed and summarized. Regarding intelligent empowerment, the intelligent architecture integrating "intent understanding, environment adaptation, and resource scheduling" as a trinity, alongside the latest research progress, were examined. For engineering applications, critical issues such as high-frequency band communication hardware optimization and antenna lightweighting were explored. The prospects for integrating UAV swarms into future integrated space-air-ground networks and the directions for next-step development were outlined. This review aimed to provide references for top-level planning and design, as well as for future research directions regarding key technological breakthroughs in the field of UAV swarm communication and networking.

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历史
  • 收稿日期:2026-01-21
  • 最后修改日期:2026-04-14
  • 录用日期:2026-04-15
  • 在线发布日期: 2026-04-23
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