人工噪声辅助无人机太赫兹安全通信的鲁棒设计

李俊杰; 崔苗; 张广驰

doi:10.12052/gdutxb.240094

欢迎来到能源电力期刊网！

English Version 期刊登录

您当前的位置：

首页 >

文章列表页 >

人工噪声辅助无人机太赫兹安全通信的鲁棒设计

信息与通信工程 | 更新时间：2026-05-27

- 人工噪声辅助无人机太赫兹安全通信的鲁棒设计
- Robust Design for Artificial Noise-assisted UAV Terahertz Secure Communication
- 广东工业大学学报 2026年43卷第2期页码：101-110
- 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：
  
  李俊杰(2000–)，男，硕士研究生，主要研究方向为无人机通信，E-mail：945602722@qq.com
  崔苗(1978–)，女，副教授，博士，主要研究方向为电子信息与无线通信技术，E-mail：cuimiao@gdut.edu.cn
- 基金信息：
  
  广东省海洋经济发展项目(粤自然资合[2023]24号)
- DOI：10.12052/gdutxb.240094
  中图分类号： TN929.5
- 纸质出版：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

NGUYEN M D, LE L B, GIRARD A. UAV placement and resource allocation for intelligent reflecting surface assisted UAV-based wireless networks[J]. IEEE Communications Letters, 2022, 26(5): 1106-1110.

MILAD T, YI H. Terahertz meets untrusted UAV-relaying: minimum secrecy energy efficiency maximization via trajectory and communication co-design[J]. IEEE Transactions on Vehicular Technology, 2022, 71(5): 4991-5006.

WANG X F, WANG P. Performance analysis of terahertz unmanned aerial vehicular networks[J]. IEEE Transactions on Vehicular Technology, 2020, 69(12): 16330-16335.

XU L Y. Joint location, bandwidth and power optimization for THz-enabled UAV communications[J]. IEEE Communications Letters, 2021, 25(6): 1984-1988.

XU Y X, CUI M, ZHANG G C, et al . UAV secure communication optimization design under probabilistic line-of-sight air-ground channels[J ] . Application Research of Computers, 2023, 40(2): 554-560.

WANG Q, CHEN Z, LI H, et al . Joint power and trajectory design for physical-layer secrecy in the UAV-aided mobile relaying system[J ] . IEEE Access, 2018, 6: 62849-62855.

ZHANG G C, WU Q Q, CUI M. Securing UAV communications via joint trajectory and power control[J]. IEEE Transactions on Wireless Communications, 2019, 18(2): 1376-1389.

LI J, LYU B. Secure transmission of active intelligent reflecting surface and artificial noise assisted MISO communication systems[J]. Journal of Nanjing University of Posts and Telecommunications, 2023, 43(3): 57-67.

XI B, FENG Y B, DENG B G, et al . A robust resource allocation algorithm for intelligent reflecting surface-assisted anti-jamming secure communication systems[J ] . Journal of Electronics Information Technology, 2024, 46(3): 875-885.

GU Y R, FANG G, HE S T. Robust beamforming design for irs-aided communication anti-jamming[J]. Communications Technology, 2023, 56(9): 1031-1035.

ZHOU Y, PAN C H, YEOH P L, et al . Secure communications for UAV-enabled mobile edge computing systems[J ] . IEEE Transactions on Communications, 2020, 68(1): 376-388.

WANG X X, DAN Z L, GU C W, et al . Secure beamforming scheme for multi-antenna UAV communication systems[J ] . Journal of Beijing University of Posts and Telecommunications, 2020, 43(6): 103-109.

WEN Y, WU H C, LI H J, et al . Robust AN-aided secure beamforming design for A2G communication networks with UAV jitter[C ] //2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) . Online: IEEE, 2020: 1-6.

QIAO J P, ZHANG C T. Securing intelligent reflecting surface assisted terahertz systems[J]. IEEE Transactions on Vehicular Technology, 2022, 71(8): 8519-8533.

LIU X, YU Y F, PENG B, et al . RIS-UAV enabled worst-case downlink secrecy rate maximization for mobile vehicles[J ] . IEEE Transactions on Vehicular Technology, 2022, 72(5): 6129-6141.

XU D F, SUN Y, NG D W K, et al . Multiuser MISO UAV communications in uncertain environments with no-fly zones: robust trajectory and resource allocation design[J ] . IEEE Transactions on Communications, 2020, 68(5): 3153-3172.

WU H C, WEN Y, ZHANG J Z, et al . Energy-efficient and secure air-to-ground communication with jittering UAV[J ] . IEEE Transactions on Vehicular Technology, 2020, 69(4): 3954-3967.

NG D W K, LO E S, SCHOBER R. Robust beamforming for secure communication in systems with wireless information and power transfer[J]. IEEE Transactions on Wireless Communications, 2014, 13(8): 4599-4615.

XING J T, LYU T J, CAO Y S, et al . Downlink power minimization in intelligent reflecting surface aided security classification wireless communications system[J ] . IEEE Systems Journal, 2022, 17(1): 407-418.

LI K B, CUI M, ZHANG G C, et al . Robust transmit and reflect beamforming design for IRS-assisted Offshore NOMA communication systems[J ] . IEEE Transactions on Vehicular Technology, 2023, 73(1): 783-798.

浏览量

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

无人机测图的像控点布设优化及精度提升措施

Bayes线性无偏估计关于误差协方差及先验分布的稳健性

基于路况参数的混合动力机车能量管理策略研究

基于AAGV-YOLOX模型的输电线路异物检测研究

面向灾后救援的多无人机通感算一体化资源分配优化方法