A secure communication algorithm for UAV swarms based on cooperative beamforming

HAN Dongsheng; ZHAO Yishuo

doi:10.11959/j.issn.1000-0801.2025144

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A secure communication algorithm for UAV swarms based on cooperative beamforming

Research and Development | 更新时间：2025-06-28

- A secure communication algorithm for UAV swarms based on cooperative beamforming
- Telecommunications Science Vol. 41, Issue 6, Pages: 57-69(2025)
- 作者机构：
  
  1.华北电力大学电子与通信工程系，河北保定 071003
  2.华北电力大学河北省电力物联网技术重点实验室，河北保定 071003
- 作者简介：
- 基金信息：
  
  The Science and Technology Program of Hebei(SZX2020034)
- DOI：10.11959/j.issn.1000-0801.2025144
  CLC： TN929.5
- Received：23 December 2024，
  
  Revised：2025-04-02，
  
  Published：20 June 2025
- 稿件说明：
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韩东升,赵逸朔.基于协作波束成形的无人机群安全通信算法[J].电信科学,2025,41(06):57-69.

HAN Dongsheng,ZHAO Yishuo.A secure communication algorithm for UAV swarms based on cooperative beamforming[J].Telecommunications Science,2025,41(06):57-69.
韩东升,赵逸朔.基于协作波束成形的无人机群安全通信算法[J].电信科学,2025,41(06):57-69. DOI： 10.11959/j.issn.1000-0801.2025144.

HAN Dongsheng,ZHAO Yishuo.A secure communication algorithm for UAV swarms based on cooperative beamforming[J].Telecommunications Science,2025,41(06):57-69. DOI： 10.11959/j.issn.1000-0801.2025144.

摘要

无人机群辅助通信系统可以改善现有无线通信网络，提升系统服务质量和通信服务覆盖范围，但无线信道的开放特性使无人机通信系统极易被非法用户窃听。为此提出了一种基于协作波束成形的无人机群安全通信算法，该算法综合考虑无人机群中各无人机的相对位置、能量，以及无人机群的整体移动和天线阵列的波束，实现最大化系统的保密率。由于该优化问题存在高度耦合的非凸项，将初始问题分解为两个子问题，并通过泰勒展开、凸松弛等方式，设计了一种循环迭代的逐次凸逼近算法进行求解。仿真结果表明，该优化方案可以有效提升系统保密率，实现物理层安全通信，并能获得比其他算法更好的效果。

Abstract

UAV swarm assistance communication system can improve the existing wireless communication network

enhance the system service quality and coverage. However

the open characteristics of wireless channels make drone communication systems extremely vulnerable to eavesdropped by illegal users. A safe communication algorithm for UAVs based on cooperative beamforming was proposed. To maximize the confidentiality of the system

the relative position and energy of each drone in the swarm

as well as the overall movement of the swarm and the beam of the antenna array

were comprehensively considered. Since this optimization problem was characterized by highly coupled non-convex terms

the initial problem was decomposed into two sub-problems and a cyclic iterative successive convex approximation algorithm was designsed to solve it through Taylor expansion and convex relaxation. Simulation results show that the optimization scheme proposed can effectively improve the system confidentiality rate

realize physical layer secure communication

and achieve better results compared with other comparison algorithms.

关键词

Keywords

references

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