Intent-based UAV swarm network: management architecture, key technologies, and future vision

LI Xuan; LI Haiyan; ZHANG Lu; ZHANG Yuhang; ZHANG Haojie

doi:10.11959/j.issn.1000-0801.2024176

您当前的位置：

首页 >

文章列表页 >

Intent-based UAV swarm network: management architecture, key technologies, and future vision

Research and Development | 更新时间：2024-08-14

- Intent-based UAV swarm network: management architecture, key technologies, and future vision
- Telecommunications Science Vol. 40, Issue 7, Pages: 108-120(2024)
- 作者机构：
  
  北京邮电大学，北京 100876
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2024176
  CLC： TP393
- Received：27 March 2024，
  
  Revised：2024-07-01，
  
  Published：20 July 2024
- 稿件说明：
移动端阅览
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

刘晨熙 , 马睿 , 彭木根 . 无人机通信感知一体化: 架构、技术与展望 [J ] . 电信科学 , 2023 , 39 ( 2 ): 1 - 9 .

LIU C X , MA R , PENG M G . UAV-enabled integrated sensing and communication: architecture, techniques, and future vision [J ] . Telecommunications Science , 2023 , 39 ( 2 ): 1 - 9 .

段海滨 , 邱华鑫 . 基于群体智能的无人机集群自主控制 [M ] . 北京 : 科学出版社 , 2018 .

DUAN H B , QIU H X . Unmanned aerial vehicle swarm autonomous control based on swarm intelligence [M ] . Beijing : Science Press , 2018 .

李福亮 , 范广宇 , 王兴伟 , 等 . 基于意图的网络研究综述 [J ] . 软件学报 , 2020 , 31 ( 8 ): 2574 - 2587 .

LI F L , FAN G Y , WANG X W , et al . State-of-the-art survey of intent-based networking [J ] . Journal of Software , 2020 , 31 ( 8 ): 2574 - 2587 .

MCNAMARA J , CAMPS-MUR D , GOODARZI M , et al . NLP powered intent based network management for private 5G networks [J ] . IEEE Access , 2023 ( 11 ): 36642 - 36657 .

詹勇 , 吴枫 . 5G网络自动化：从人工运维到全自治 [J ] . 电信科学 , 2022 , 38 ( 8 ): 140 - 150 .

ZHAN Y , WU F . 5G network automation: from manual operating to full autonomous [J ] . Telecommunications Science , 2022 , 38 ( 8 ): 140 - 150 .

VELASCO L , SIGNORELLI M , DE DIOS O G , et al . End-to-end intent-based networking [J ] . IEEE Communications Magazine , 2021 , 59 ( 10 ): 106 - 112 .

郭令奇 , 褚智贤 , 廖建新 , 等 . 意图驱动的自智网络资源按需服务 [J ] . 北京邮电大学学报 , 2022 , 45 ( 6 ): 82 - 88 .

GUO L Q , CHU Z X , LIAO J X , et al . Intent-driven demand-aware resource service in autonomous networks [J ] . Journal of Beijing University of Posts and Telecommunications , 2022 , 45 ( 6 ): 82 - 88 .

YANG C G , MI X R , OUYANG Y , et al . SMART intent-driven network management [J ] . IEEE Communications Magazine , 2023 , 61 ( 1 ): 106 - 112 .

ZHANG J W , YANG C G , DONG R , et al . Intent-driven closed-loop control and management framework for 6G open RAN [J ] . IEEE Internet of Things Journal , 2024 , 11 ( 4 ): 6314 - 6327 .

赵晓雪 , 薛富国 , 张露露 , 等 . 意图驱动端到端网络切片编排与控制 [J ] . 电信科学 , 2023 , 39 ( 9 ): 1 - 11 .

ZHAO X X , XUE F G , ZHANG L L , et al . Intent-driven end-to-end network slicing orchestration and control [J ] . Telecommunications Science , 2023 , 39 ( 9 ): 1 - 11 .

SINGH A , AUJLA G S , BALI R S . Intent-based network for data dissemination in software-defined vehicular edge computing [J ] . IEEE Transactions on Intelligent Transportation Systems , 2021 , 22 ( 8 ): 5310 - 5318 .

胡飞 , 欧冬秀 , 黄心林 . 无人机集群系统网络模型与协议 [M ] . 北京 : 国防工业出版社 , 2023 .

HU F , OU D X , HUANG X L . UVA swarm system network model and protocol [M ] . Beijing : National Defense Industry Press , 2023 .

LEIVADEAS A , FALKNER M . A survey on intent-based networking [J ] . IEEE Communications Surveys & Tutorials , 2023 , 25 ( 1 ): 625 - 655 .

CLEMM A , CIAVAGLIA L , GRANVILLE L , et al . Intent-based networking - concepts and definitions [J ] . RFC , 2020 , 9315 : 1 - 23 .

WANG J Y , ZHANG L , YANG Y R , et al . Network meets ChatGPT: intent autonomous management, control and operation [J ] . Journal of Communications and Information Networks , 2023 , 8 ( 3 ): 239 - 255 .

邹丽强 . 多特征融合的文本相似度计算方法 [D ] . 抚州 : 东华理工大学 , 2023 .

ZOU L Q . Method for calculating text similarity based on multi-feature fusion [D ] . Fuzhou : East China Institute of Technology , 2023 .

LI F L , HEI C Y , SHEN J X , et al . Human-intent-driven cellular configuration generation using program synthesis [J ] . IEEE Journal on Selected Areas in Communications , 2024 , 42 ( 3 ): 658 - 668 .

刘继新 , 张新珏 , 蒋伶潇 , 等 . 低空无人机群自组织网络弹性综述 [J ] . 科学技术与工程 , 2023 , 23 ( 20 ): 8504 - 8514 .

LIU J X , ZHANG X J , JIANG L X , et al . Review of self-organizing UAV swarm network resilience in low altitude airspace [J ] . Science Technology and Engineering , 2023 , 23 ( 20 ): 8504 - 8514 .

Views

1077

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Joint detection and computation optimization algorithm for UAV swarms based on swarm intelligence

Related Author

Hong Huijie

Mao Yaqi

Lin Xiaoyong

Li Dapeng

Zhao Zhixiangyu

Hong Huijie

Lin Xiaoyong

Li Dapeng

Related Institution

School of Communication and Information Engineering, Nanjing University of Posts and

School of Electronics and Information, Northwestern Polytechnical University

School of Communication and Information Engineering, Nanjing University of Posts and Telecommunications

⁰