Energy-efficient optimization for wireless information and power transfer in large-scale MIMO systems employing energy Beamforming

X Chen, X Wang, Xianfu Chen

    Research output: Contribution to journalArticleScientificpeer-review

    159 Citations (Scopus)

    Abstract

    In this letter, we consider a large-scale multiple-input multiple-output (MIMO) system where the receiver should harvest energy from the transmitter by wireless power transfer to support its wireless information transmission. The energy beamforming in the large-scale MIMO system is utilized to address the challenging problem of long-distance wireless power transfer. Furthermore, considering the limitation of the power in such a system, this letter focuses on the maximization of the energy efficiency of information transmission (bit per Joule) while satisfying the quality-of-service (QoS) requirement, i.e. delay constraint, by jointly optimizing transfer duration and transmit power. By solving the optimization problem, we derive an energy-efficient resource allocation scheme. Numerical results validate the effectiveness of the proposed scheme.
    Original languageEnglish
    Pages (from-to)667-670
    Number of pages3
    JournalIEEE Wireless Communications Letters
    Volume2
    Issue number6
    DOIs
    Publication statusPublished - 2013
    MoE publication typeA1 Journal article-refereed

    Fingerprint

    Beamforming
    Resource allocation
    Energy efficiency
    Transmitters
    Quality of service

    Keywords

    • Energy beamforming
    • Energy-efficient resource allocation
    • large-scale MIMO system
    • QoS guarantee
    • wireless information and power transfer

    Cite this

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    title = "Energy-efficient optimization for wireless information and power transfer in large-scale MIMO systems employing energy Beamforming",
    abstract = "In this letter, we consider a large-scale multiple-input multiple-output (MIMO) system where the receiver should harvest energy from the transmitter by wireless power transfer to support its wireless information transmission. The energy beamforming in the large-scale MIMO system is utilized to address the challenging problem of long-distance wireless power transfer. Furthermore, considering the limitation of the power in such a system, this letter focuses on the maximization of the energy efficiency of information transmission (bit per Joule) while satisfying the quality-of-service (QoS) requirement, i.e. delay constraint, by jointly optimizing transfer duration and transmit power. By solving the optimization problem, we derive an energy-efficient resource allocation scheme. Numerical results validate the effectiveness of the proposed scheme.",
    keywords = "Energy beamforming, Energy-efficient resource allocation, large-scale MIMO system, QoS guarantee, wireless information and power transfer",
    author = "X Chen and X Wang and Xianfu Chen",
    year = "2013",
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    Energy-efficient optimization for wireless information and power transfer in large-scale MIMO systems employing energy Beamforming. / Chen, X; Wang, X; Chen, Xianfu.

    In: IEEE Wireless Communications Letters, Vol. 2, No. 6, 2013, p. 667-670.

    Research output: Contribution to journalArticleScientificpeer-review

    TY - JOUR

    T1 - Energy-efficient optimization for wireless information and power transfer in large-scale MIMO systems employing energy Beamforming

    AU - Chen, X

    AU - Wang, X

    AU - Chen, Xianfu

    PY - 2013

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    N2 - In this letter, we consider a large-scale multiple-input multiple-output (MIMO) system where the receiver should harvest energy from the transmitter by wireless power transfer to support its wireless information transmission. The energy beamforming in the large-scale MIMO system is utilized to address the challenging problem of long-distance wireless power transfer. Furthermore, considering the limitation of the power in such a system, this letter focuses on the maximization of the energy efficiency of information transmission (bit per Joule) while satisfying the quality-of-service (QoS) requirement, i.e. delay constraint, by jointly optimizing transfer duration and transmit power. By solving the optimization problem, we derive an energy-efficient resource allocation scheme. Numerical results validate the effectiveness of the proposed scheme.

    AB - In this letter, we consider a large-scale multiple-input multiple-output (MIMO) system where the receiver should harvest energy from the transmitter by wireless power transfer to support its wireless information transmission. The energy beamforming in the large-scale MIMO system is utilized to address the challenging problem of long-distance wireless power transfer. Furthermore, considering the limitation of the power in such a system, this letter focuses on the maximization of the energy efficiency of information transmission (bit per Joule) while satisfying the quality-of-service (QoS) requirement, i.e. delay constraint, by jointly optimizing transfer duration and transmit power. By solving the optimization problem, we derive an energy-efficient resource allocation scheme. Numerical results validate the effectiveness of the proposed scheme.

    KW - Energy beamforming

    KW - Energy-efficient resource allocation

    KW - large-scale MIMO system

    KW - QoS guarantee

    KW - wireless information and power transfer

    U2 - 10.1109/WCL.2013.092813.130514

    DO - 10.1109/WCL.2013.092813.130514

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    JO - IEEE Wireless Communications Letters

    JF - IEEE Wireless Communications Letters

    SN - 2162-2337

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    ER -