Optimal Online Transmission Policy for Energy-Constrained Wireless-Powered Communication Networks

Xian Li, Xiangyun Zhou, Derrick Wing Kwan Ng, Changyin Sun

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    This work considers the design of online transmission policy in a wireless-powered communication system with a given energy budget. The system design objective is to maximize the long-term throughput of the system exploiting the energy storage capability at the wireless-powered node. We formulate the design problem as a constrained Markov decision process (CMDP) problem and obtain the optimal policy of transmit power and time allocation in each fading block via the Lagrangian approach. To investigate the system performance in different scenarios, numerical simulations are conducted with various system parameters. Our simulation results show that the optimal policy significantly outperforms a myopic policy which only maximizes the throughput in the current fading block. Moreover, the optimal allocation of transmit power and time is shown to be insensitive to the change of modulation and coding schemes, which facilitates its practical implementation.

    Original languageEnglish
    Title of host publication2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781538680889
    DOIs
    Publication statusPublished - May 2019
    Event2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China
    Duration: 20 May 201924 May 2019

    Publication series

    NameIEEE International Conference on Communications
    Volume2019-May
    ISSN (Print)1550-3607

    Conference

    Conference2019 IEEE International Conference on Communications, ICC 2019
    Country/TerritoryChina
    CityShanghai
    Period20/05/1924/05/19

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