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

149 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

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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",
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language = "English",
volume = "2",
pages = "667--670",
journal = "IEEE Wireless Communications Letters",
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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

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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

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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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EP - 670

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

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