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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


    Beteiligte:
    Wei, Yuxuan (Autor:in) / Bai, Zhiqiang (Autor:in) / Zhu, Yuesheng (Autor:in)


    Erscheinungsdatum :

    01.09.2019


    Format / Umfang :

    662090 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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

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



    Power Efficient Deployment of VLC-enabled UAVs

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


    Energy Efficient Air-to-Ground Wireless Networks Using Circularly Orbiting UAVs

    Wang, Ziyan / Matsuda, Takahiro / Taniguchi, Ryotaro et al. | IEEE | 2025