Advanced Search
Volume 45 Issue 5
May  2023
Turn off MathJax
Article Contents
ZHU Xiaorong, ZHANG Wenjin, ZHAO Lingyu, LIU Xu, REN Wei. UAV Trajectory Planning and Resource Joint Optimization Method Based on Content-aware[J]. Journal of Electronics & Information Technology, 2023, 45(5): 1644-1650. doi: 10.11999/JEIT220761
Citation: ZHU Xiaorong, ZHANG Wenjin, ZHAO Lingyu, LIU Xu, REN Wei. UAV Trajectory Planning and Resource Joint Optimization Method Based on Content-aware[J]. Journal of Electronics & Information Technology, 2023, 45(5): 1644-1650. doi: 10.11999/JEIT220761

UAV Trajectory Planning and Resource Joint Optimization Method Based on Content-aware

doi: 10.11999/JEIT220761
Funds:  The National Natural Science Foundation of China (61871237, 92067101), The Program to Cultivate Middle-aged and Young Science Leaders of Universities of Jiangsu Province and Key Research and Development Plan of Jiangsu Province (BE2021013-3, BE2020084-3)
  • Received Date: 2022-06-13
  • Rev Recd Date: 2022-07-09
  • Available Online: 2022-07-25
  • Publish Date: 2023-05-10
  • In view of the surge in data traffic and the diversified needs of users in the future 6G network, using UAV to assist the cellular network can provide users with better services. This paper proposes a UAV trajectory planning and resource allocation joint optimization method based on content-aware. Hot content is cached on UAV. Under the condition of satisfying the user’s content demand, user association and UAV trajectory are jointly optimized to maximize the minimum average service rate of users. Since the established optimization problem is non-convex, a block coordinate descent method is proposed to decompose the original problem into two sub-problems and the trajectory planning problem is solved by continuous convex optimization method. The simulation results show that the proposed method can effectively improve the minimum user average service rate and the network depth coverage level.
  • loading
  • [1]
    陈新颖, 盛敏, 李博, 等. 面向6G的无人机通信综述[J]. 电子与信息学报, 2022, 44(3): 781–789. doi: 10.11999/JEIT210789

    CHEN Xinying, SHENG Min, LI Bo, et al. Survey on unmanned aerial vehicle communications for 6G[J]. Journal of Electronics &Information Technology, 2022, 44(3): 781–789. doi: 10.11999/JEIT210789
    [2]
    KHUWAJA A A, CHEN Yunfei, ZHAO Nan, et al. A survey of channel modeling for UAV communications[J]. IEEE Communications Surveys & Tutorials, 2018, 20(4): 2804–2821. doi: 10.1109/COMST.2018.2856587
    [3]
    DUO Bin, WU Qingqing, YUAN Xiaojun, et al. Anti-jamming 3D trajectory design for UAV-enabled wireless sensor networks under probabilistic LoS channel[J]. IEEE Transactions on Vehicular Technology, 2020, 69(12): 16288–16293. doi: 10.1109/TVT.2020.3040334
    [4]
    ZHANG Liang, CELIK A, DANG Shuping, et al. Energy-efficient trajectory optimization for UAV-assisted IoT networks[J]. IEEE Transactions on Mobile Computing, 2021, 21(12): 4323–4337. doi: 10.1109/TMC.2021.3075083
    [5]
    CHENG Nan, XU Wenchao, SHI Weisen, et al. Air-ground integrated mobile edge networks: Architecture, challenges and opportunities[J]. IEEE Communications Magazine, 2018, 56(8): 26–32. doi: 10.1109/MCOM.2018.1701092
    [6]
    HU Qiyu, CAI Yunlong, YU Guanding, et al. Joint offloading and trajectory design for UAV-enabled mobile edge computing systems[J]. IEEE Internet of Things Journal, 2018, 6(2): 1879–1892. doi: 10.1109/JIOT.2018.2878876
    [7]
    WU Qingqing, ZENG Yong, and ZHANG Rui. 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
    [8]
    AL-HOURANI A, KANDEEPAN S, and LARDNER S. Optimal LAP altitude for maximum coverage[J]. IEEE Wireless Communications Letters, 2014, 3(6): 569–572. doi: 10.1109/LWC.2014.2342736
    [9]
    芦方旭, 米志超, 李艾静, 等. 基于灰狼算法的无人机基站三维空间优化部署[J]. 兵器装备工程学报, 2021, 42(7): 185–189. doi: 10.11809/bqzbgcxb2021.07.032

    LU Fangxu, MI Zhichao, LI Aijing, et al. Research on three-dimensional deployment algorithm of UAV-BS based on gray wolf optimizer[J]. Journal of Sichuan Ordnance, 2021, 42(7): 185–189. doi: 10.11809/bqzbgcxb2021.07.032
    [10]
    冯建新, 栾帅帅, 刘俊梅, 等. 一种高吞吐量的无人机轨迹规划方法[J]. 计算机工程, 2021, 47(1): 172–181. doi: 10.19678/j.issn.1000-3428.0056235

    FENG Jianxin, LUAN Shuaishuai, LIU Junmei, et al. An unmanned aerial vehicle trajectory planning method with high throughput[J]. Computer Engineering, 2021, 47(1): 172–181. doi: 10.19678/j.issn.1000-3428.0056235
    [11]
    张广驰, 严雨琳, 崔苗, 等. 基于强化学习的无人机基站多播通信系统的飞行路线在线优化[J]. 电子与信息学报, 2022, 44(3): 969–975. doi: 10.11999/JEIT210429

    ZHANG Guangchi, YAN Yulin, CUI Miao, et al. Online trajectory optimization for the UAV-enabled base station multicasting system based on reinforcement learning[J]. Journal of Electronics &Information Technology, 2022, 44(3): 969–975. doi: 10.11999/JEIT210429
    [12]
    TANG Jie, SONG Jingru, OU Junhui, et al. Minimum throughput maximization for multi-UAV enabled WPCN: A deep reinforcement learning method[J]. IEEE Access, 2020, 8: 9124–9132. doi: 10.1109/ACCESS.2020.2964042
    [13]
    ZENG Yong and ZHANG Rui. Energy-efficient UAV communication with trajectory optimization[J]. IEEE Transactions on Wireless Communications, 2017, 16(6): 3747–3760. doi: 10.1109/TWC.2017.2688328
  • 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(6)  / Tables(2)

    Article Metrics

    Article views (454) PDF downloads(137) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return