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

X Chen; X Wang; Xianfu Chen

doi:10.1109/WCL.2013.092813.130514

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 journal › Article › Scientific › peer-review

182 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 language	English
Pages (from-to)	667-670
Number of pages	3
Journal	IEEE Wireless Communications Letters
Volume	2
Issue number	6
DOIs	https://doi.org/10.1109/WCL.2013.092813.130514
Publication status	Published - 2013
MoE publication type	A1 Journal article-refereed

Keywords

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

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

Access to Document

10.1109/WCL.2013.092813.130514

Fingerprint Dive into the research topics of 'Energy-efficient optimization for wireless information and power transfer in large-scale MIMO systems employing energy Beamforming'. Together they form a unique fingerprint.

Cite this

@article{48860d91f3c64530b218ee6e3c8de1fe,

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",

doi = "10.1109/WCL.2013.092813.130514",

language = "English",

volume = "2",

pages = "667--670",

journal = "IEEE Wireless Communications Letters",

issn = "2162-2337",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

number = "6",

}

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

Y1 - 2013

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

M3 - Article

VL - 2

SP - 667

EP - 670

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

SN - 2162-2337

IS - 6

ER -