This paper studies an unmanned aerial vehicle (UAV)-enabled wireless power communication networks (WPCN-s), where the UAV provides energy for mobile user nodes (M-UNs) and receives information from M-UNs. The movement of M-UN complies with a Gauss-Markov random model. To ensure acceptable quality-of-service (QoS), we consider dynamically planning the flight path of the UAV according to the movements of M-UNs. Since the flight time of UAV is restricted by limited energy, nonorthogonal multiple access (NOMA) is adopted to access a large number of M-UNs for simultaneous information transmission. Based on the above considerations, we aim to maximize the throughput via path planning of the UAV, subject to the QoS requirements of M-UNs and the UAV's energy constraint. To handle the challenges brought by dynamically changing channels to solving the problem, we propose a QoS-based double deep Q-learning network (DDQN). Numerical simulation results show that, compared with the conventional algorithms, the proposed framework achieves higher throughput.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Double deep Q-learning network-based path planning in UAV-assisted wireless powered NOMA communication networks


    Contributors:
    Lei, Ming (author) / Fowler, Scott (author) / Wang, Juzhen (author) / Zhang, Xingjun (author) / Yu, Bocheng (author) / Yu, Bin (author)


    Publication date :

    2021-09-01


    Size :

    418818 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    NOMA-based Dual-UAV Data Collection in Wireless Powered IoT Networks

    Du, Pengfei / Chen, Shijia / Zeng, Qi et al. | IEEE | 2023


    NOMA-Based Energy-Efficient Wireless Powered Communications in 5G Systems

    Zewde, Tewodros A. / Gursoy, M. Cenk | IEEE | 2017


    NOMA-Based Rate Optimization for Multi-UAV-Assisted D2D Communication Networks

    Guowei Wu / Guifen Chen / Xinglong Gu | DOAJ | 2025

    Free access

    Secrecy performance analysis of UAV-assisted CR-NOMA wireless communication systems

    HUANG, Haiyan / AI, Yuxin / LIANG, Linlin et al. | Elsevier | 2025

    Free access

    Energy-efficient Optimization for IRS-assisted Wireless-powered Communication Networks

    Wang, Qianzhu / Gao, Zhengnian / Xu, Yongjun et al. | IEEE | 2021