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Volume 46 Issue 5
May  2024
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YU Baoquan, YANG Weiwei, WANG Quan, ZHANG Ruoyu, CAI Yueming. Age of Information Analysis and Optimization in Unmanned Aerial Vehicles-assisted Integrated Sensing and Communication Systems[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1996-2003. doi: 10.11999/JEIT231175
Citation: YU Baoquan, YANG Weiwei, WANG Quan, ZHANG Ruoyu, CAI Yueming. Age of Information Analysis and Optimization in Unmanned Aerial Vehicles-assisted Integrated Sensing and Communication Systems[J]. Journal of Electronics & Information Technology, 2024, 46(5): 1996-2003. doi: 10.11999/JEIT231175

Age of Information Analysis and Optimization in Unmanned Aerial Vehicles-assisted Integrated Sensing and Communication Systems

doi: 10.11999/JEIT231175
Funds:  The National Natural Science Foundation of China (62171464, 62201266)
  • Received Date: 2023-10-30
  • Rev Recd Date: 2024-02-23
  • Available Online: 2024-03-06
  • Publish Date: 2024-05-10
  • In many monitoring and control tasks, it is difficult for the control center to get the real-time status information directly because of the distance between the monitored target and the control center. The Unmanned Aerial Vehicles (UAV) can make full use of its advantages of high mobility, reduce the sensing and communication distance, and then improve the sensing and communication capabilities, which provides a new idea for real-time acquisition of remote target status information. In this paper, the optimization problem of Age of Information (AoI) analysis in UAV-assisted integrated sensing and communication system is studied. Firstly, the status update process of control center is analyzed, and then the closed-form expression of average peak AoI is derived. Further, in the multi-UAV multi-target scenario, the average peak AoI of the system is further reduced by optimizing the perception position and communication position of the UAV in the air, as well as the matching relationship between the UAV and the target, and the real-time status update is improved. The simulation results verify the correctness of the theoretical analysis, and show that the proposed optimization method can effectively improve the AoI performance of the system compared with the benchmark methods.
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  • [1]
    ABD-ELMAGID M A, PAPPAS N, and DHILLON H S. On the role of age of information in the internet of things[J]. IEEE Communications Magazine, 2019, 57(12): 72–77. doi: 10.1109/MCOM.001.1900041.
    [2]
    CAO Jie, ZHU Xu, SUN Sumei, et al. Toward industrial metaverse: Age of information, latency and reliability of short-packet transmission in 6G[J]. IEEE Wireless Communications, 2023, 30(2): 40–47. doi: 10.1109/MWC.2001.2200396.
    [3]
    JIANG Zhiyuan, KRISHNAMACHARI B, ZHENG Xi, et al. Timely status update in wireless uplinks: Analytical solutions with asymptotic optimality[J]. IEEE Internet of Things Journal, 2019, 6(2): 3885–3898. doi: 10.1109/JIOT.2019.2893319.
    [4]
    XIANG Zhongwu, YANG Weiwei, PAN Gaofeng, et al. Physical layer security in cognitive radio inspired NOMA network[J]. IEEE Journal of Selected Topics in Signal Processing, 2019, 13(3): 700–714. doi: 10.1109/JSTSP.2019.2902103.
    [5]
    MA Ruiqian, YANG Weiwei, SHI Hui, et al. Covert communication with a spectrum sharing relay in the finite blocklength regime[J]. China Communications, 2023, 20(4): 195–211. doi: 10.23919/JCC.fa.2022-0490.202304.
    [6]
    KAUL S, YATES R, and GRUTESER M. Real-time status: How often should one update?[C]. IEEE Conference on Computer Communications (INFOCOM), Orlando, America, 2012: 2731–2735. doi: 10.1109/INFCOM.2012.6195689.
    [7]
    MU Xidong, WANG Zhaolin, and LIU Yuanwei. NOMA for integrating sensing and communications towards 6G: A multiple access perspective[J]. IEEE Wireless Communications. doi: 10.1109/MWC.015.2200559.
    [8]
    XIE Zhanyuan, JIANG Zheng, ZHU Jianchi, et al. Joint target sensing and energy-harvesting-based remote state monitoring: A CMDP approach[J]. IEEE Communications Letters, 2023, 27(10): 2613–2617. doi: 10.1109/LCOMM.2023.3303459.
    [9]
    ZHANG Qixun, WANG Xinna, LI Zhenhao, et al. Design and performance evaluation of joint sensing and communication integrated system for 5G mmWave enabled CAVs[J]. IEEE Journal of Selected Topics in Signal Processing, 2021, 15(6): 1500–1514. doi: 10.1109/JSTSP.2021.3109666.
    [10]
    QIN Zhen, WEI Zhenhua, QU Yuben, et al. AoI-aware scheduling for air-ground collaborative mobile edge computing[J]. IEEE Transactions on Wireless Communications, 2023, 22(5): 2989–3005. doi: 10.1109/TWC.2022.3215795.
    [11]
    WANG Xijun, YI Mengjie, LIU Juan, et al. Cooperative data collection with multiple UAVs for information freshness in the internet of things[J]. IEEE Transactions on Communications, 2023, 71(5): 2740–2755. doi: 10.1109/TCOMM.2023.3255240.
    [12]
    JIANG Wenwen, AI Bo, CHENG Jing, et al. Sum of age-of-information minimization in aerial IRSs assisted wireless networks[J]. IEEE Communications Letters, 2023, 27(5): 1377–1381. doi: 10.1109/LCOMM.2023.3254502.
    [13]
    MU Junsheng, ZHANG Ronghui, CUI Yuanhao, et al. UAV meets integrated sensing and communication: Challenges and future directions[J]. IEEE Communications Magazine, 2023, 61(5): 62–67. doi: 10.1109/MCOM.008.2200510.
    [14]
    HU Jingzhi, ZHANG Hongliang, and SONG Lingyang. Reinforcement learning for decentralized trajectory design in cellular UAV networks with sense-and-send protocol[J]. IEEE Internet of Things Journal, 2019, 6(4): 6177–6189. doi: 10.1109/JIOT.2018.2876513.
    [15]
    CHANG Bo, TANG Wei, YAN Xiaoyu, et al. Integrated scheduling of sensing, communication, and control for mmWave/THz communications in cellular connected UAV networks[J]. IEEE Journal on Selected Areas in Communications, 2022, 40(7): 2103–2113. doi: 10.1109/JSAC.2022.3157366.
    [16]
    ZHANG Shuhang, ZHANG Hongliang, HAN Zhu, et al. Age of information in a cellular internet of UAVs: Sensing and communication trade-off design[J]. IEEE Transactions on Wireless Communications, 2020, 19(10): 6578–6592. doi: 10.1109/TWC.2020.3004162.
    [17]
    黄博, 方旭明, 陈煜. OFDMA中继网络变时域节能资源分配策略[J]. 电子与信息学报, 2013, 35(5): 1023–1030. doi: 10.3724/SP.J.1146.2012.01180.

    HUANG Bo, FANG Xuming, and CHEN Yu. Variable time-domain energy saving resource allocation for OFDMA relay networks[J]. Journal of Electronics & Information Technology, 2013, 35(5): 1023–1030. doi: 10.3724/SP.J.1146.2012.01180.
    [18]
    LIANG Le, LI G Y, and XU Wei. Resource allocation for D2D-enabled vehicular communications[J]. IEEE Transactions on Communications, 2017, 65(7): 3186–3197. doi: 10.1109/TCOMM.2017.2699194.
    [19]
    YANG Weiwei, LU Xingbo, YAN Shihao, et al. Age of information for short-packet covert communication[J]. IEEE Wireless Communications Letters, 2021, 10(9): 1890–1894. doi: 10.1109/LWC.2021.3085025.
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