Global Energy Efficiency Optimization for Wireless-Powered Massive MIMO Aided Multiway AF Relay Networks

This paper considers a wireless-powered massive multi-input multioutput aided multiway amplify-and-forward relay network, where a relay equipped with massive antennas charges users through energy beamforming and assists with wireless information transmission. For this system, we propose a novel ener...

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Published inIEEE transactions on signal processing Vol. 66; no. 9; pp. 2384 - 2398
Main Authors Tan, Fangqing, Lv, Tiejun, Huang, Pingmu
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Beamforming
Energy efficiency
Energy transmission
Iterative algorithms
Iterative methods
large-scale/massive MIMO
Maximization
MIMO communication
multi-way relay
Optimization
power control
Power efficiency
Relay networks
Relays
Resource allocation
Resource management
Throughput
time allocation
Transceivers
Wireless communication
wireless power transfer
Wireless sensor networks
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Abstract This paper considers a wireless-powered massive multi-input multioutput aided multiway amplify-and-forward relay network, where a relay equipped with massive antennas charges users through energy beamforming and assists with wireless information transmission. For this system, we propose a novel energy-efficient resource allocation scheme for the global energy efficiency (GEE) optimization. In particular, we first derive an accurate closed-form expression of GEE when zero-forcing transceivers are employed in the considered system. Second, based on this analytical expression, we formulate a resource allocation optimization problem for the GEE maximization by jointly optimizing power and time allocation, subject to limited transmit power, time duration, and minimum quality-of-service constraints. Due to the complexity of this nonconvex optimization, a two-layer iterative algorithm is proposed to address the original GEE maximization problem. Numerical results demonstrate the accuracy of our theoretical analysis and the effectiveness of the derived algorithms.
AbstractList This paper considers a wireless-powered massive multi-input multioutput aided multiway amplify-and-forward relay network, where a relay equipped with massive antennas charges users through energy beamforming and assists with wireless information transmission. For this system, we propose a novel energy-efficient resource allocation scheme for the global energy efficiency (GEE) optimization. In particular, we first derive an accurate closed-form expression of GEE when zero-forcing transceivers are employed in the considered system. Second, based on this analytical expression, we formulate a resource allocation optimization problem for the GEE maximization by jointly optimizing power and time allocation, subject to limited transmit power, time duration, and minimum quality-of-service constraints. Due to the complexity of this nonconvex optimization, a two-layer iterative algorithm is proposed to address the original GEE maximization problem. Numerical results demonstrate the accuracy of our theoretical analysis and the effectiveness of the derived algorithms.
Author Tiejun Lv
Pingmu Huang
Fangqing Tan
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SubjectTerms Beamforming
Energy efficiency
Energy transmission
Iterative algorithms
Iterative methods
large-scale/massive MIMO
Maximization
MIMO communication
multi-way relay
Optimization
power control
Power efficiency
Relay networks
Relays
Resource allocation
Resource management
Throughput
time allocation
Transceivers
Wireless communication
wireless power transfer
Wireless sensor networks
Title Global Energy Efficiency Optimization for Wireless-Powered Massive MIMO Aided Multiway AF Relay Networks
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