This paper studies a multi-Unmanned Aerial Vehicles (UAVs) -enabled wireless powered communication network (WPCN). We present a novel use of UAVs with energy harvesting module. Thus, UAVs are used as flying base stations to collecting data and charging ground IoT devices via radio frequency (RF). Due to energy constraint and limited coverage of single UAV, its applications are limited. So we investigate a Multi-UAVs solution to enhance system transmitting performance via UAVs' cooperation. In particular, we focus on finding a tradeoff solution to prolong devices lifetime and improve the average uplink throughput efficiency among all ground users in a given time. To tackle this problem, we first consider a relaxed problem in which IoT devices are distributed in different residential blocks. A Work-Gain algorithm is designed for the relaxed problem. The performances comparison are presented in numerical results. Our performance analysis and simulation results have demonstrated that the proposed approach can improve the uplink performance approximately by 20% compared to other methods in certain circumstances.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Energy Efficient Cooperation Design for Multi-UAVs Enabled Wireless Powered Communication Networks


    Contributors:
    Wei, Yuxuan (author) / Bai, Zhiqiang (author) / Zhu, Yuesheng (author)


    Publication date :

    2019-09-01


    Size :

    662090 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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

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



    Energy-Efficient Beamforming and Time Allocation in Wireless Powered Communication Networks

    Fu, Miaomiao / Guo, Chongtao / Zhang, Shengli et al. | IEEE | 2018


    Power Efficient Deployment of VLC-enabled UAVs

    Zhu, Zhiyu / Yang, Yang / Guo, Caili et al. | IEEE | 2020