Volume 51 Issue 4
Apr.  2025
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TANG J M,HUANG J Q,WANG B W,et al. Resource optimization of multi UAV assisted communication system based on user scheduling[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(4):1143-1151 (in Chinese) doi: 10.13700/j.bh.1001-5965.2023.0241
Citation: TANG J M,HUANG J Q,WANG B W,et al. Resource optimization of multi UAV assisted communication system based on user scheduling[J]. Journal of Beijing University of Aeronautics and Astronautics,2025,51(4):1143-1151 (in Chinese) doi: 10.13700/j.bh.1001-5965.2023.0241

Resource optimization of multi UAV assisted communication system based on user scheduling

doi: 10.13700/j.bh.1001-5965.2023.0241
Funds:

National Natural Science Foundation of China (62261056) 

More Information
  • Corresponding author: E-mail:1540600368@qq.com
  • Received Date: 11 May 2023
  • Accepted Date: 28 Jul 2023
  • Available Online: 08 Sep 2023
  • Publish Date: 07 Sep 2023
  • In order to improve the transmission rate of multi-user mobile communication downlink wireless transmission systems, a resource optimization method for multi-unmanned aerial vehicle (UAV) auxiliary communication systems based on user scheduling and trajectory optimization is proposed. The proposed method formulates an optimization problem based on maximizing the total throughput of multiple users while satisfying constraints such as user scheduling, total energy consumption of drones, and user service quality requirements. In order to solve the nonconvex problem, the original nonconvex problem is decomposed into three easy to deal with nonconvex subproblems by the block coordinate descent (BCD), and the approximate suboptimal solution of the original nonconvex problem is obtained by introducing relaxation variables, first-order Taylor expression, successive convex approximation (SCA) and other methods to transform the subproblems and solve them alternately. Simulation results show that the proposed method can effectively improve overall system throughput and has good convergence in single and multiple UAV communication systems.

     

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  • [1]
    张海君, 陈安琪, 李亚博, 等. 6G移动网络关键技术[J]. 通信学报, 2022, 43(7): 189-202.

    ZHANG H J, CHEN A Q , LI Y B, et al. Key technologies of 6G mobile network[J]. Journal on Communications, 2020, 43(7): 189-202(in Chinese).
    [2]
    WANG M Y, LIN Y, TIAN Q, et al. Transfer learning promotes 6G wireless communications: recent advances and future challenges[J]. IEEE Transactions on Reliability, 2021, 70(2): 790-807. doi: 10.1109/TR.2021.3062045
    [3]
    WANG B W, SUN Y J, SUN Z, et al. UAV-assisted emergency communications in social IoT: a dynamic hypergraph coloring approach[J]. IEEE Internet of Things Journal, 2020, 7(8): 7663-7677. doi: 10.1109/JIOT.2020.2988445
    [4]
    ZENG F Z, HU Z Z, XIAO Z, et al. Resource allocation and trajectory optimization for QoE provisioning in energy-efficient UAV-enabled wireless networks[J]. IEEE Transactions on Vehicular Technology, 2020, 69(7): 7634-7647. doi: 10.1109/TVT.2020.2986776
    [5]
    ALZENAD M, EL-KEYI A, YANIKOMEROGLU H. 3-D placement of an unmanned aerial vehicle base station for maximum coverage of users with different QoS requirements[J]. IEEE Wireless Communications Letters, 2018, 7(1): 38-41. doi: 10.1109/LWC.2017.2752161
    [6]
    XIAO Z Y, DONG H, BAI L, et al. Unmanned aerial vehicle base station (UAV-BS) deployment with millimeter-wave beamforming[J]. IEEE Internet of Things Journal, 2020, 7(2): 1336-1349. doi: 10.1109/JIOT.2019.2954620
    [7]
    XU J, ZENG Y, ZHANG R. UAV-enabled wireless power transfer: trajectory design and energy optimization[J]. IEEE Transactions on Wireless Communications, 2018, 17(8): 5092-5106. doi: 10.1109/TWC.2018.2838134
    [8]
    WU Q Q, ZENG Y, ZHANG R. Joint trajectory and communication design for multi-UAV enabled wireless networks[J]. IEEE Transactions on Wireless Communications, 2018, 17(3): 2109-2121. doi: 10.1109/TWC.2017.2789293
    [9]
    张广驰, 陈娇, 崔苗, 等. 无人机交替中继通信及其轨迹优化和功率分配研究[J]. 电子与信息学报, 2021, 43(12): 3554-3562. doi: 10.11999/JEIT200684

    ZHANG G C, CHEN J, CUI M, et al. Trajectory optimization and power allocation for UAV alternate relay communications[J]. Journal of Electronics & Information Technology, 2021, 43(12): 3554-3562(in Chinese). doi: 10.11999/JEIT200684
    [10]
    WANG H C, REN G C, CHEN J, et al. Unmanned aerial vehicle-aided communications: joint transmit power and trajectory optimization[J]. IEEE Wireless Communications Letters, 2018, 7(4): 522-525. doi: 10.1109/LWC.2018.2792435
    [11]
    张涛, 张君, 唐洪莹, 等. 无人机辅助无线供电通信网络节能通信[J]. 传感器与微系统, 2021, 40(12): 44-48.

    ZHANG T, ZHANG J, TANG H Y, et al. Energy minimization communication in UAV-aided wireless powered communication network[J]. Transducer and Microsystem Technologies, 2021, 40(12): 44-48(in Chinese).
    [12]
    GUO W, ZHANG W L, WANG Y C, et al. Joint attitude and power optimization for UAV-aided downlink communications[J]. IEEE Transactions on Vehicular Technology, 2019, 68(12): 12437-12442. doi: 10.1109/TVT.2019.2948762
    [13]
    SONG Q H, ZHENG F C, ZENG Y, et al. Joint beamforming and power allocation for UAV-enabled full-duplex relay[J]. IEEE Transactions on Vehicular Technology, 2019, 68(2): 1657-1671. doi: 10.1109/TVT.2018.2889349
    [14]
    LIN N, FAN Y B, ZHAO L, et al. GREEN: a global energy efficiency maximization strategy for multi-UAV enabled communication systems[C]//Proceedings of the IEEE Transactions on Mobile Computing. Piscataway: IEEE Press, 2023: 7104-7120.
    [15]
    ZHANG T K, XU Y, LOO J, et al. Joint computation and communication design for UAV-assisted mobile edge computing in IoT[J]. IEEE Transactions on Industrial Informatics, 2020, 16(8): 5505-5516. doi: 10.1109/TII.2019.2948406
    [16]
    RAZAVIYAYN M. Successive convex approximation: analysis and applications[D]. Minnesota: University of Minnesota, 2014.
    [17]
    BOYD S P, VANDENBERGHE L. Convex optimization[M]. Cambridge: Cambridge University Press, 2004.
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