Advanced Search
Turn off MathJax
Article Contents
OUYANG Jian, REN Wei, XU Ba, LIU Xiaoyu, JIANG Wanmu. Queue Stability Constrained Robust Secure Beamforming for Low-Altitude UAV-ISAC Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT260275
Citation: OUYANG Jian, REN Wei, XU Ba, LIU Xiaoyu, JIANG Wanmu. Queue Stability Constrained Robust Secure Beamforming for Low-Altitude UAV-ISAC Systems[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT260275

Queue Stability Constrained Robust Secure Beamforming for Low-Altitude UAV-ISAC Systems

doi: 10.11999/JEIT260275 cstr: 32379.14.JEIT260275
Funds:  The Key Laboratory of Intelligent Support Technology for Complex Environments, Ministry of Education, Nanjing University of Information Science and Technology (B3202501), The Natural Science Foundation of the Jiangsu Higher Education Institutions of China (25KJD510011), The Natural Science Research Start up Foundation of Recruiting Talents of Nanjing University of Posts and Telecommunications (NY224068)
  • Received Date: 2026-03-16
  • Accepted Date: 2026-06-24
  • Rev Recd Date: 2026-06-24
  • Available Online: 2026-07-04
  •   Objective  To address the challenges of antenna array angle errors caused by UAV jitter, transmission instability induced by random data arrivals, and secure transmission guarantee in multi-eavesdropper scenarios for low-altitude UAV-ISAC systems, this paper proposes a robust secure beamforming algorithm based on queue stability constraints. The proposed algorithms aims to minimize long-term transmit power consumption while maintaining data queue stability while enhancing beamforming robustness against UAV jitter.  Methods  To guarantee the stability of the wireless transmission in UAV-ISAC systems, this paper formulates an optimization problem aimed at minimizing the long-term average transmit power, subject to constraints on data queue stability, secure communication rate, sensing performance, and maximum transmit power. Since this long-term optimization problem is intractable, the Lyapunov optimization framework is employed to transform it into a sequence of short-term subproblems. To handle the antenna array angle errors caused by UAV jitter within each short slot, we jointly adopt the second-order Taylor series expansion and the S-Procedure method to approximate the short-term subproblem into a convex form. Consequently, a robust secure beamforming algorithm based on penalty successive convex approximation optimization is proposed.  Results and Discussions  Simulation results demonstrate the impact of the number of antennas, secrecy rate threshold, beam gain threshold, UAV jitter error, and Lyapunov weight factor on the system transmit power. As illustrated by the beam gain pattern in Fig. 3, the communication beamformer facilitates cooperative sensing toward the sensing area, while the sensing beamformer enhances system security by directing interference toward potential eavesdroppers. This validates the effectiveness of the proposed algorithm in simultaneously improving sensing and secure communication performance. Furthermore, leveraging the dual-function characteristics of the communication and sensing beamformers, the proposed integrated sensing and communication scheme achieves significantly higher resource utilization efficiency than the communication-only and sensing-only schemes, as shown in Fig. 5. Additionally, Fig. 6 indicates that, compared with the non-robust scheme, the proposed robust scheme strictly satisfies security requirements under various angle errors. Finally, Fig. 8 shows that the proposed queue-aware scheme can effectively suppress the transmit power fluctuations caused by random data arrivals, exhibiting superior stability compared to the queue-free baseline.  Conclusions  This paper investigates a robust secure beamforming method for UAV-ISAC systems subject to queue stability constraints. First, based on the Lyapunov optimization framework, the long-term stochastic optimization problem is transformed into a sequence of short-term subproblems. Second, to address the issue of UAV jitter, the second-order Taylor series expansion and the S-Procedure method are jointly employed to approximate the non-convex constraints into tractable convex forms. Finally, a robust secure BF optimization algorithm based on penalty successive convex approximation is proposed to efficiently solve the deterministic short-term subproblems. Simulation results demonstrate that the proposed scheme can effectively tackle the challenges posed by random data arrivals, UAV jitter, and eavesdropping threats, thereby ensuring the stability and security of downlink data transmission in low-altitude UAV-ISAC systems.
  • loading
  • [1]
    WANG Yixian, SUN Geng, SUN Zemin, et al. Toward realization of low-altitude economy networks: Core architecture, integrated technologies, and future directions[J]. IEEE Transactions on Cognitive Communications and Networking, 2025, 11(5): 2788–2820. doi: 10.1109/TCCN.2025.3601015.
    [2]
    钱志鸿, 王义君. 低空经济赋能者: 智能无人机技术体系综述与展望[J]. 电子与信息学报, 2026, 48(1): 1–33. doi: 10.11999/JEIT251246.

    QIAN Zhihong and WANG Yijun. Intelligent unmanned aerial vehicles for low-altitude economy: A review of the technology framework and future prospects[J]. Journal of Electronics & Information Technology, 2026, 48(1): 1–33. doi: 10.11999/JEIT251246.
    [3]
    JIANG Yihang, LI Xiaoyang, ZHU Guangxu, et al. Integrated sensing and communication for low altitude economy: Opportunities and challenges[J]. IEEE Communications Magazine, 2025, 63(12): 72–78. doi: 10.1109/MCOM.001.2400685.
    [4]
    朱政宇, 温鑫平, 李兴旺, 等. 面向低空经济的通感一体化关键技术[J]. 电子与信息学报, 2026, 48(2): 471–486. doi: 10.11999/JEIT250747.

    ZHU Zhengyu, WEN Xinping, LI Xingwang, et al. An overview on integrated sensing and communication for low altitude economy[J]. Journal of Electronics & Information Technology, 2026, 48(2): 471–486. doi: 10.11999/JEIT250747.
    [5]
    PENG Guangqian, ZHANG Ningbo, CHEN Hao, et al. Energy-efficient-aware RSMA-enabled UAV-ISAC[J]. IEEE Wireless Communications Letters, 2026, 15: 1380–1384. doi: 10.1109/LWC.2025.3647149.
    [6]
    GOU Haosong, ZHAO Siyu, RAO Yunbo, et al. Energy-efficient trajectory design and resource allocation for multi-drone-enabled ISAC in IoT networks[J]. IEEE Transactions on Consumer Electronics, 2026, 72(1): 1672–1684. doi: 10.1109/TCE.2025.3631745.
    [7]
    ZHOU Yuyan, LIU Yang, WU Qingqing, et al. Queueing aware power minimization for wireless communication aided by double-faced active RIS[J]. IEEE Transactions on Communications, 2023, 71(10): 5799–5813. doi: 10.1109/TCOMM.2023.3293858.
    [8]
    WANG Xue, WANG Ying, ZHAO Jianguo, et al. Joint long-term user scheduling and beamforming design for burst IIoT[J]. IEEE Internet of Things Journal, 2024, 11(12): 22628–22642. doi: 10.1109/JIOT.2024.3382738.
    [9]
    SHENG Zhichao, HU Hao, NASIR A A, et al. Online Trajectory planning and resource allocation of UAV-enabled MEC networks empowered by RIS[J]. IEEE Transactions on Green Communications and Networking, 2025, 9(3): 1224–1238. doi: 10.1109/TGCN.2024.3503687.
    [10]
    QIN Peng, FU Yang, YU Zhigang, et al. URLLC-aware trajectory plan and beamforming design for NOMA-aided UAV integrated sensing, communication, and computation networks[J]. IEEE Transactions on Vehicular Technology, 2025, 74(1): 1610–1625. doi: 10.1109/TVT.2024.3460813.
    [11]
    朱政宇, 杨晨一, 李铮, 等. 智能反射面辅助通感一体化系统安全资源分配算法[J]. 电子与信息学报, 2025, 47(1): 66–74. doi: 10.11999/JEIT240083.

    ZHU Zhengyu, YANG Chenyi, LI Zheng, et al. Resource allocation algorithm for intelligent reflecting surface-assisted secure integrated sensing and communications system[J]. Journal of Electronics & Information Technology, 2025, 47(1): 66–74. doi: 10.11999/JEIT240083.
    [12]
    DENG Dan, ZHOU Wen, LI Xingwang, et al. Joint beamforming and UAV trajectory optimization for covert communications in ISAC networks[J]. IEEE Transactions on Wireless Communications, 2025, 24(2): 1016–1030. doi: 10.1109/TWC.2024.3503726.
    [13]
    GAO Ruifeng, CHEN Ying, HU Yingdong, et al. Towards UAV aerial base station networking robustness: A jitter-aware antenna selection perspective[J]. IEEE Transactions on Vehicular Technology, 2024, 73(10): 15866–15871. doi: 10.1109/TVT.2024.3399309.
    [14]
    CHENG Tianhao, WANG Buhong, CAO Kunrui, et al. Aerial IRS-assisted secure SWIPT system with UAV jitter[J]. IEEE Transactions on Green Communications and Networking, 2024, 8(4): 1530–1544. doi: 10.1109/TGCN.2024.3366539.
    [15]
    OUYANG Jian, LU Yuting, LIU Chengyang, et al. Robust beamforming for uplink RSMA in UAV communication systems with jittering[J]. IEEE Communications Letters, 2025, 29(4): 769–773. doi: 10.1109/LCOMM.2025.3543284.
    [16]
    OUYANG Jian, DING Jing, WANG Runan, et al. Robust secrecy-energy efficient beamforming for jittering UAV in cognitive satellite-aerial networks[J]. IEEE Transactions on Aerospace and Electronic Systems, 2025, 61(4): 9567–9583. doi: 10.1109/TAES.2025.3552313.
    [17]
    ZHANG Yu, CHEN Jiachi, ZHONG Caijun, et al. Active IRS-assisted integrated sensing and communication in C-RAN[J]. IEEE Wireless Communications Letters, 2023, 12(3): 411–415. doi: 10.1109/LWC.2022.3228405.
    [18]
    XU Dongfang, SUN Yan, 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. doi: 10.1109/TCOMM.2020.2970043.
    [19]
    WANG Kunyu, SO A M C, CHANG T H, et al. Outage constrained robust transmit optimization for multiuser MISO downlinks: Tractable approximations by conic optimization[J]. IEEE Transactions on Signal Processing, 2014, 62(21): 5690–5705. doi: 10.1109/TSP.2014.2354312.
    [20]
    XU Yu, ZHANG Tiankui, LIU Yuanwei, et al. UAV-enabled integrated sensing, computing, and communication: A fundamental trade-off[J]. IEEE Wireless Communications Letters, 2023, 12(5): 843–847. doi: 10.1109/LWC.2023.3245728.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(9)  / Tables(2)

    Article Metrics

    Article views (139) PDF downloads(10) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return