Robust Simultaneous Wireless Information and Power Transfer in Beamspace Massive MIMO

We investigate the worst-case robust beamforming for simultaneous wireless information and power transfer in a multiuser beamspace massive multiple-input multiple-output (MIMO) system. The objective is to minimize the transmit power of the base station subject to the individual signal-to-interferenc...

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Published inIEEE transactions on wireless communications Vol. 18; no. 9; pp. 4199 - 4212
Main Authors Zhu, Fengchao, Gao, Feifei, Eldar, Yonina C., Qian, Gongbin
Format Journal Article
LanguageEnglish
Published New York IEEE 01.09.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Antennas
Array signal processing
Beamforming
beamspace
Channel estimation
Computational geometry
Computer simulation
Convexity
Energy harvesting
Interference
massive MIMO
MIMO (control systems)
MIMO communication
non-convex optimization
Optimization
Power management
Power transfer
robust beamforming
Robustness
Scaling factors
Simultaneous wireless information and power transfer (SWIPT)
Wireless communication
Online AccessGet full text
ISSN1536-1276
1558-2248
DOI10.1109/TWC.2019.2916405

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Abstract We investigate the worst-case robust beamforming for simultaneous wireless information and power transfer in a multiuser beamspace massive multiple-input multiple-output (MIMO) system. The objective is to minimize the transmit power of the base station subject to the individual signal-to-interference-plus-noise ratio and the energy-harvesting constraints under imperfect channel state information. Instead of directly resorting to semi-definite relaxation, we convert the initial non-convex optimization to a power allocation problem, which greatly reduces the computational complexity. The beamforming vectors are proven to be scaled versions of the estimated channels. The optimal scaling factors are then derived in closed-form. The simulations demonstrate that the proposed robust beamforming method achieves the globally optimal point for the initial design when the channel estimation errors are small while leads to satisfactory performance when the channel estimation errors are large.
AbstractList We investigate the worst-case robust beamforming for simultaneous wireless information and power transfer in a multiuser beamspace massive multiple-input multiple-output (MIMO) system. The objective is to minimize the transmit power of the base station subject to the individual signal-to-interference-plus-noise ratio and the energy-harvesting constraints under imperfect channel state information. Instead of directly resorting to semi-definite relaxation, we convert the initial non-convex optimization to a power allocation problem, which greatly reduces the computational complexity. The beamforming vectors are proven to be scaled versions of the estimated channels. The optimal scaling factors are then derived in closed-form. The simulations demonstrate that the proposed robust beamforming method achieves the globally optimal point for the initial design when the channel estimation errors are small while leads to satisfactory performance when the channel estimation errors are large.
Author Eldar, Yonina C.
Zhu, Fengchao
Gao, Feifei
Qian, Gongbin
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Snippet We investigate the worst-case robust beamforming for simultaneous wireless information and power transfer in a multiuser beamspace massive multiple-input...
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SubjectTerms Antennas
Array signal processing
Beamforming
beamspace
Channel estimation
Computational geometry
Computer simulation
Convexity
Energy harvesting
Interference
massive MIMO
MIMO (control systems)
MIMO communication
non-convex optimization
Optimization
Power management
Power transfer
robust beamforming
Robustness
Scaling factors
Simultaneous wireless information and power transfer (SWIPT)
Wireless communication
Title Robust Simultaneous Wireless Information and Power Transfer in Beamspace Massive MIMO
URI https://ieeexplore.ieee.org/document/8718514
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Volume 18
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