Robust Design for Artificial Noise-assisted UAV Terahertz Secure Communication

Li Junjie; Cui Miao; Zhang Guangchi

doi:10.12052/gdutxb.240094

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Robust Design for Artificial Noise-assisted UAV Terahertz Secure Communication

更新时间：2026-05-27

- Robust Design for Artificial Noise-assisted UAV Terahertz Secure Communication
- Vol. 43, Issue 2, Pages: 101-110(2026)
- 作者机构：
  
  广东工业大学信息工程学院,广东,广州,510006
- 作者简介：
- 基金信息：
- DOI：10.12052/gdutxb.240094
  CLC： TN929.5
- Published：2026
- 稿件说明：
移动端阅览
李俊杰, 崔苗, 张广驰. 人工噪声辅助无人机太赫兹安全通信的鲁棒设计[J]. 广东工业大学学报, 2026, 43(2): 101–110.

Li Junjie, Cui Miao, Zhang Guangchi. Robust Design for Artificial Noise-assisted UAV Terahertz Secure Communication[J]. 2026, 43(2): 101-110.
李俊杰, 崔苗, 张广驰. 人工噪声辅助无人机太赫兹安全通信的鲁棒设计[J]. 广东工业大学学报, 2026, 43(2): 101–110. DOI： 10.12052/gdutxb.240094

Li Junjie, Cui Miao, Zhang Guangchi. Robust Design for Artificial Noise-assisted UAV Terahertz Secure Communication[J]. 2026, 43(2): 101-110. DOI： 10.12052/gdutxb.240094.

摘要

无人机太赫兹通信同时具有极高的带宽和灵活部署的优点

为满足6G严苛的通信需求提供了很好的解决方案。然而，由于无人机平台易受风吹等环境的影响，以及通信链路具有时变特性，所以其难以获得完美的信道状态信息，进而难以与地面用户建立鲁棒稳定的安全通信链路。本文针对具有不完美信道状态信息的无人机太赫兹下行通信，提出一种人工噪声辅助的通信信息安全鲁棒优化算法。在用户与窃听者处的信道状态信息均不完美情况下，引入人工噪声辅助安全通信，在满足用户最坏情况通信性能约束和窃听者最坏情况窃听速率约束情况下，通过优化波束赋形向量、人工噪声向量和无人机轨迹，最小化无人机总发射功率。所考虑的问题是一个含参数不确定的非凸多项式难题，本文设计了一种基于半正定松弛、S过程、连续凸逼近的交替迭代算法，并通过等效变换将两组参数不确定原始分式约束直接转换为线性矩阵不等式约束。仿真结果表明，与基准算法相比，本文所提出的算法不仅能有效降低基站的总发射功率，还在信道状态信息不完美的情况下实现了安全节能的鲁棒通信。

Abstract

Unmanned aerial vehicle (UAV) terahertz communication has the advantages of both extremely high bandwidth and flexible deployment

which provides a good solution to meet the demanding communication requirements of 6G. However

the UAV platform's susceptibility to environmental influences such as wind and the time-varying nature of its communication links make it difficult to obtain perfect channel state information (CSI)

thus hindering the establishment of robust and stable secure communication links with ground users. In this research

an artificial noise-assisted robust optimization algorithm is proposed for secure downlink terahertz UAV communication with imperfect CSI. Specifically

with imperfect CSI at both users and eavesdroppers

artificial noise was introduced to enhance the secure communication. The objective was to minimize the total transmission power of the UAV by optimizing the beamforming vectors

artificial noise vectors

and UAV trajectory

under the constraints of worst-case user communication performance and worst-case eavesdropping rate. The problem

characterized as a non-convex polynomial with parameter uncertainties

was addressed by developing an alternating iterative algorithm based on semidefinite relaxation

S-procedure

and successive convex approximation. Equivalent transformations were used to convert the original fractional constraints with parameter uncertainties into linear matrix inequality constraints. Simulation results show that compared with benchmark algorithms

the proposed algorithm effectively reduces the total transmission power of the base station and achieves robust

energy-efficient secure communication under imperfect CSI conditions.

关键词

Keywords

references

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