The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 무선 전력 전송(WPT)이 가능한 다중 사용자 대규모 MIMO(다중 입력 다중 출력) 시스템에 대한 에너지 효율적인 자원 할당 문제를 조사합니다. 고려된 시스템에서 센서 노드(SN)는 먼저 대규모 안테나가 있는 전력 비컨(PB)의 WPT에 의해 전력을 공급받습니다. 그런 다음 SN은 수확된 에너지를 사용하여 여러 안테나가 있는 기지국(BS)에 데이터를 전송합니다. 에너지 효율 목표를 최적화하는 문제는 PB의 최대 전송 전력과 SN의 QoS(Quality of Service)를 고려하여 공식화됩니다. 분수 프로그래밍을 채택함으로써 에너지 효율적인 최적화 문제는 먼저 빼기 형식으로 변환됩니다. 그리고 에너지 효율을 극대화하기 위해 블록 좌표 하강법과 Dinkelbach 방법을 기반으로 한 공동 전력 및 시간 할당 알고리즘을 제안합니다. 마지막으로, 시뮬레이션 결과는 제안된 알고리즘이 스펙트럼 효율과 전체 전력 소비 사이에서 좋은 절충안을 달성했음을 보여줍니다.
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
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부
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
부
@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},}
부
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 -