无人机集群网络资源优化研究综述
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中国人民解放军陆军工程大学通信工程学院

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国家自然科学基金面上项目62101594, 62101584, 61901506, 62001514 ;博士后创新人才支持计划BX2021371 (通信作者:王海超).


A Review of Research on Optimization of Resources in UAV swarm Networks
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1.Army Engineering University, PLA;2.College of Communication Engineering, Army Engineering University of PLA;3.PLA

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The National Natural Science Foundation of China under Grant NO. 62101594, NO. 62101584, No. 61901506, and No. 62001514, and The National Postdoctoral Program for Innovative Talents under Grant BX2021371 (Corresponding author: Haichao Wang).

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    摘要:

    无人机集群以其灵活性、低成本、可搭载各类传感器等优势,已成为执行复杂任务的关键设备,其应用依赖于及时高效的通信,因此,针对无人机集群网络的研究近年来也得到了广泛关注。无人机集群高移动性、高信息交互量、低能源存储量等固有特性,使其通信资源的管理面临各种严峻的挑战。文章首先综述了无人机集群网络的应用场景、优势及其特点,并结合信道接入控制体制,对无人机集群的无线资源优化问题进行分类,提炼出资源优化所面临的挑战。随后从策略与方法的角度对现有的网络资源优化方案进行了总结归纳,梳理了大规模集群场景下的通信性能提升、高动态环境下的及时决策更新,以及多元异构需求下的通信满意度提升等技术难点。最后,依据研究现状与潜在机遇,结合新兴技术的应用优势,对无人机集群网络的技术方向和发展前景进行了展望。

    Abstract:

    UAV swarms have become critical equipment for performing complex tasks due to their flexibility, low cost, and the ability to carry various sensors. Their application depends on timely and efficient communication. Therefore, the research on UAV swarm communication networks has also received widespread attention in recent years. The inherent characteristics of UAV swarms, such as high mobility, high information interaction, and low energy storage, make the management of communication resources face various severe challenges. This paper firstly summarizes the application scenarios, advantages, and characteristics of the UAV swarm communication network, and extracts the challenges faced by resource optimization. From the perspectives of strategies and methods, this paper summarizes the existing resource optimization schemes, and sorts out the technical difficulties, such as communication performance improvement in large-scale cluster scenarios, timely decision update in high-complex environments, and communication satisfaction improvement in multi-heterogeneous requirements. Finally, according to the research status and potential application value, combine with the application advantages of emerging technologies, the technical direction and development prospects of the UAV swarm communication network are prospected.

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  • 收稿日期:2022-04-15
  • 最后修改日期:2022-09-15
  • 录用日期:2022-09-26
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