意图驱动的无人机集群网络：管理架构、关键技术与未来展望

李璇; 李海岩; 张璐; 张雨航; 张豪杰

doi:10.11959/j.issn.1000-0801.2024176

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意图驱动的无人机集群网络：管理架构、关键技术与未来展望

研究与开发 | 更新时间：2024-08-14

- 意图驱动的无人机集群网络：管理架构、关键技术与未来展望
- Intent-based UAV swarm network: management architecture, key technologies, and future vision
- 电信科学 2024年40卷第7期页码：108-120
- 作者机构：
  
  北京邮电大学，北京 100876
- 作者简介：
  
  [ "李璇（1989- ），女，博士，北京邮电大学信息与通信工程学院副研究员、博士生导师，主要研究方向为智能无人网络管理。" ]
  [ "李海岩（1997- ），男，北京邮电大学信息与通信工程学院博士生，主要研究方向为无人机集群分簇管理和资源规划分配。" ]
  [ "张璐（2002- ），女，北京邮电大学信息与通信工程学院硕士生，主要研究方向为意图驱动网络和无人机集群控制。" ]
  [ "张雨航（2002- ），男，北京邮电大学国际学院在读，主要研究方向为无人机集群态势感知及网络管理。" ]
  [ "张豪杰（1989- ），男，博士，北京邮电大学电子工程学院副教授、博士生导师，主要研究方向为智能测量与传感。" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2024176
  中图分类号： TP393
- 收稿日期：2024-03-27，
  
  修回日期：2024-07-01，
  
  纸质出版日期：2024-07-20
- 稿件说明：
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李璇,李海岩,张璐等.意图驱动的无人机集群网络：管理架构、关键技术与未来展望[J].电信科学,2024,40(07):108-120.

LI Xuan,LI Haiyan,ZHANG Lu,et al.Intent-based UAV swarm network: management architecture, key technologies, and future vision[J].Telecommunications Science,2024,40(07):108-120.
李璇,李海岩,张璐等.意图驱动的无人机集群网络：管理架构、关键技术与未来展望[J].电信科学,2024,40(07):108-120. DOI： 10.11959/j.issn.1000-0801.2024176.

LI Xuan,LI Haiyan,ZHANG Lu,et al.Intent-based UAV swarm network: management architecture, key technologies, and future vision[J].Telecommunications Science,2024,40(07):108-120. DOI： 10.11959/j.issn.1000-0801.2024176.

摘要

作为空天地一体化网络的重要组成部分，无人机集群已在紧急搜救、攻防对抗、情报侦察与监视等复杂任务中展示出广阔的应用前景。无人系统技术的升级革新和多机协同智能应用的日益丰富对无人机集群网络的信息交互能力提出新的要求。意图驱动网络架构下，无人机集群自主管理网络，简化了网络管理的复杂性。将意图驱动网络引入无人机集群系统，亟须突破智慧自治网络技术，提升智能群体面对高动态性和不确定性环境的适应能力，这为无人机集群的协同操作和智能决策提供了新的视角和方法。围绕意图驱动的无人机集群网络管理架构、关键技术和未来展望展开了深入的分析和讨论，旨在为无人机集群网络的未来发展提供坚实的理论基础和技术参考。

Abstract

As an integral part to the air

space and ground integrated network

unmanned aerial vehicle (UAV) swarms have shown broad application prospects in complex tasks such as emergency search and rescue

offensive and defensive confrontation

intelligence reconnaissance and surveillance. The advancements in unmanned technology

coupled with the increasingly rich applications of multi-UAV collaborative intelligence

have engendered new requisites for the information exchange capabilities within UAV swarm networks. Under the umbrella of intent-based network architecture

UAV swarms are capable of autonomously managing the network

thereby mitigating the intricacies inherent in network management. Introducing intent-driven network into UAV swarm systems urgently requires breakthroughs in smart autonomous network technology to enhance the adaptability of intelligent groups in high-dynamic and uncertain environments. A new perspective and method for the collaborative operation and intelligent decision-making of UAV swarms was provided. The architecture

key technologies

and prospects of intent-based UAV swarm networks management were reviewed. Through in-depth analysis and discussion

a solid theoretical foundation and technical reference were aimed to be provided for the future development of UAV swarms.

关键词

Keywords

references

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