Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 667-670 |
| Number of pages | 3 |
| Journal | IEEE Wireless Communications Letters |
| Volume | 2 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - 2013 |
| MoE publication type | A1 Journal article-refereed |
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Keywords
- Energy beamforming
- Energy-efficient resource allocation
- large-scale MIMO system
- QoS guarantee
- wireless information and power transfer
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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 journal › Article › Scientific › peer-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
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 -