低空无线网络中安全通信与感知一体化性能优化方法

王嘉诚; 杨曜旗; 赵常源; 郭尚伟; 向涛

doi:10.12263/DZXB.20260006

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低空无线网络中安全通信与感知一体化性能优化方法

面向低空经济的通信感知一体化技术 | 更新时间：2026-10-16

- 低空无线网络中安全通信与感知一体化性能优化方法
- Integrated Secure Communication and Sensing Performances Optimization in Low-Altitude Wireless Networks
- 电子学报 2026年54卷第6期页码：2623-2636
- 作者机构：
  
  1.新加坡南洋理工大学计算与数据科学学院，新加坡 639798
  2.近地面探测全国重点实验室，北京 100072
  3.重庆大学计算机学院，重庆 400044
- 作者简介：
  
  王嘉诚男，1992年12月出生于重庆市。现为新加坡南洋理工大学研究员。主要研究方向为低空无线网络与通感一体化网络。E-mail: jiacheng.wang@ntu.edu.sg
  杨曜旗男，1997年8月出生于甘肃省金昌市。2024年毕业于陆军工程大学通信工程学院。现为近地面探测全国重点实验室工程师。主要研究方向为低空无线网络与移动群智感知。E-mail: yaoqi_yang@yeah.net
  赵常源男，1998年5月出生于陕西省西安市。现为新加坡南洋理工大学计算机与数据科学学院博士研究生。主要研究方向为人工智能技术在通信网络中的应用。E-mail: zhao0441@e.ntu.edu.sg
  郭尚伟男，1989年9月出生于河南省新乡市。现为重庆大学计算机学院副教授、博士生导师。主要研究方向为智能系统安全与隐私保护。E-mail: swguo@cqu.edu.cn
  向涛男，1980年3月出生于湖北省荆门市。现为重庆大学计算机学院院长、教授、博士生导师。主要研究方向为区块链、隐私保护、人工智能安全、多媒体安全、云计算安全、大数据安全等。中国电子学会会员编号：E190036104S。E-mail: txiang@cqu.edu.cn
- 基金信息：
  
  国家自然科学基金(62501600;62572079)
- DOI：10.12263/DZXB.20260006
  中图分类号： TN929.5;
- 收稿：2026-02-03，
  
  录用：2026-02-24，
  
  纸质出版：2026-06-25
- 稿件说明：
移动端阅览
王嘉诚, 杨曜旗, 赵常源, 等. 低空无线网络中安全通信与感知一体化性能优化方法[J]. 电子学报, 2026, 54(06): 2623-2636.

WANG Jiacheng, YANG Yaoqi, ZHAO Changyuan, et al. Integrated Secure Communication and Sensing Performances Optimization in Low-Altitude Wireless Networks[J]. Acta Electronica Sinica, 2026, 54(06): 2623-2636.
王嘉诚, 杨曜旗, 赵常源, 等. 低空无线网络中安全通信与感知一体化性能优化方法[J]. 电子学报, 2026, 54(06): 2623-2636. DOI：10.12263/DZXB.20260006

WANG Jiacheng, YANG Yaoqi, ZHAO Changyuan, et al. Integrated Secure Communication and Sensing Performances Optimization in Low-Altitude Wireless Networks[J]. Acta Electronica Sinica, 2026, 54(06): 2623-2636. DOI：10.12263/DZXB.20260006

摘要

低空经济作为新兴经济形态，对社会经济发展、城市管理、立体交通等方面具有重要意义。低空无线网络为各类低空应用提供通信、感知等一系列支撑，是低空经济发展的核心驱动之一。为进一步提升低空无线网络性能，本文研究了安全通信与感知一体化性能优化方法，以解决通感一体化技术赋能低空应用过程中的无线信号窃听问题。具体而言，首先构建低空安全通信与感知一体化网络模型，并设计了面向通信与感知性能的安全速率、传输数据平均信息年龄以及波束图误差指标，并在此基础上构建了多指标加权优化问题，旨在同时优化低空应用中无人机的安全通信以及感知性能。然后，提出了一种基于改进多算子差分演化的求解算法，通过优化基站数据生成速率以及功率分配以提升低空无线网络安全通信与感知性能，并对算法复杂度以及收敛性进行了理论分析。最后，通过仿真实验验证了所提算法的可行性与有效性。仿真结果表明，所提算法能够在提升低空无线网络安全速率、降低传输数据平均信息年龄的同时改善波束图误差性能，优于基线方案。

Abstract

The low-altitude economy

as an emerging economic paradigm

holds significant importance for socioeconomic development

urban management

and three-dimensional transportation. Low-altitude wireless networks (LAWNs) serve as a fundamental enabler of this economy by providing essential communication and sensing capabilities for various low-altitude applications. To further enhance the LAWNs

this paper proposes the integrated secure communication and sensing performances optimization method

addressing the wireless signal eavesdropping issue for low-altitude applications. Specifically

a secure communication and sensing network model for LAWNs is constructed first

and the indicators

including secrecy rate

average age of information (AoI) for transmission data

and beamforming error

are defined to characterize communication and sensing performance. Then

a multi-objective weighted optimization problem is formulated to simultaneously enhance the secure communication and sensing performance of unmanned aerial vehicles (UAVs) in low-altitude applications. To solve this optimization problem

an improved multi-operator differential evolution algorithm is proposed

which optimizes the base station’s data generation rate and power allocation to enhance the overall secure communication and sensing performance. Theoretical analyses of the algorithm’s complexity and convergence are also provided. Simulation results demonstrate that the proposed method can effectively improve the secrecy rate and reduce the average AoI while minimizing beamforming errors

outperforming baseline schemes.

关键词

Keywords

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