IEICE TRANSACTIONS on Communications
Energy Efficient Resource Allocation Algorithm for Massive MIMO Systems Based on Wireless Power Transfer
Summary :
This paper investigates energy-efficient resource allocation problem for the wireless power transfer (WPT) enabled multi-user massive multiple-input multiple-output (MIMO) systems. In the considered systems, the sensor nodes (SNs) are firstly powered by WPT from the power beacon (PB) with a large scale of antennas. Then, the SNs use the harvested energy to transmit the data to the base station (BS) with multiple antennas. The problem of optimizing the energy efficiency objective is formulated with the consideration of maximum transmission power of the PB and the quality of service (QoS) of the SNs. By adopting fractional programming, the energy-efficient optimization problem is firstly converted into a subtractive form. Then, a joint power and time allocation algorithm based on the block coordinate descent and Dinkelbach method is proposed to maximize energy efficiency. Finally, simulation results show the proposed algorithm achieves a good compromise between the spectrum efficiency and total power consumption.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E102-B No.2 pp.351-358
- Publication Date
- 2019/02/01
- Publicized
- 2018/08/13
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2018EBP3134
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Xiao-yu WAN
Chongqing University of Posts and Telecommunications
Xiao-na YANG
Chongqing University of Posts and Telecommunications
Zheng-qiang WANG
Chongqing University of Posts and Telecommunications
Zi-fu FAN
Chongqing University of Posts and Telecommunications
Keyword
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Xiao-yu WAN, Xiao-na YANG, Zheng-qiang WANG, Zi-fu FAN, "Energy Efficient Resource Allocation Algorithm for Massive MIMO Systems Based on Wireless Power Transfer" in IEICE TRANSACTIONS on Communications,
vol. E102-B, no. 2, pp. 351-358, February 2019, doi: 10.1587/transcom.2018EBP3134.
Abstract: This paper investigates energy-efficient resource allocation problem for the wireless power transfer (WPT) enabled multi-user massive multiple-input multiple-output (MIMO) systems. In the considered systems, the sensor nodes (SNs) are firstly powered by WPT from the power beacon (PB) with a large scale of antennas. Then, the SNs use the harvested energy to transmit the data to the base station (BS) with multiple antennas. The problem of optimizing the energy efficiency objective is formulated with the consideration of maximum transmission power of the PB and the quality of service (QoS) of the SNs. By adopting fractional programming, the energy-efficient optimization problem is firstly converted into a subtractive form. Then, a joint power and time allocation algorithm based on the block coordinate descent and Dinkelbach method is proposed to maximize energy efficiency. Finally, simulation results show the proposed algorithm achieves a good compromise between the spectrum efficiency and total power consumption.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2018EBP3134/_p
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@ARTICLE{e102-b_2_351,
author={Xiao-yu WAN, Xiao-na YANG, Zheng-qiang WANG, Zi-fu FAN, },
journal={IEICE TRANSACTIONS on Communications},
title={Energy Efficient Resource Allocation Algorithm for Massive MIMO Systems Based on Wireless Power Transfer},
year={2019},
volume={E102-B},
number={2},
pages={351-358},
abstract={This paper investigates energy-efficient resource allocation problem for the wireless power transfer (WPT) enabled multi-user massive multiple-input multiple-output (MIMO) systems. In the considered systems, the sensor nodes (SNs) are firstly powered by WPT from the power beacon (PB) with a large scale of antennas. Then, the SNs use the harvested energy to transmit the data to the base station (BS) with multiple antennas. The problem of optimizing the energy efficiency objective is formulated with the consideration of maximum transmission power of the PB and the quality of service (QoS) of the SNs. By adopting fractional programming, the energy-efficient optimization problem is firstly converted into a subtractive form. Then, a joint power and time allocation algorithm based on the block coordinate descent and Dinkelbach method is proposed to maximize energy efficiency. Finally, simulation results show the proposed algorithm achieves a good compromise between the spectrum efficiency and total power consumption.},
keywords={},
doi={10.1587/transcom.2018EBP3134},
ISSN={1745-1345},
month={February},}
Copy
TY - JOUR
TI - Energy Efficient Resource Allocation Algorithm for Massive MIMO Systems Based on Wireless Power Transfer
T2 - IEICE TRANSACTIONS on Communications
SP - 351
EP - 358
AU - Xiao-yu WAN
AU - Xiao-na YANG
AU - Zheng-qiang WANG
AU - Zi-fu FAN
PY - 2019
DO - 10.1587/transcom.2018EBP3134
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E102-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2019
AB - This paper investigates energy-efficient resource allocation problem for the wireless power transfer (WPT) enabled multi-user massive multiple-input multiple-output (MIMO) systems. In the considered systems, the sensor nodes (SNs) are firstly powered by WPT from the power beacon (PB) with a large scale of antennas. Then, the SNs use the harvested energy to transmit the data to the base station (BS) with multiple antennas. The problem of optimizing the energy efficiency objective is formulated with the consideration of maximum transmission power of the PB and the quality of service (QoS) of the SNs. By adopting fractional programming, the energy-efficient optimization problem is firstly converted into a subtractive form. Then, a joint power and time allocation algorithm based on the block coordinate descent and Dinkelbach method is proposed to maximize energy efficiency. Finally, simulation results show the proposed algorithm achieves a good compromise between the spectrum efficiency and total power consumption.
ER -
English
