Optimal Energy-Efficient Source and Relay Precoder Design for Two-Way MIMO-AF Relay Systems

Energy efficiency (EE) is a key figure of merit for designing the next generation of communication systems. Meanwhile, relay-based cooperative communication, through machine-to-machine and other related technologies, is also playing an important part in the development of these systems. This paper d...

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Bibliographic Details
Published in:IEEE transactions on green communications and networking 2020-09, Vol.4 (3), p.759-773
Main Authors: Heliot, Fabien, Tafazolli, Rahim
Format: Article
Language:English
Subjects:
5G mobile communication
Algorithms
amplify-and-forward
Array signal processing
Communications systems
Convexity
Design
Energy consumption
Energy conversion efficiency
Energy efficiency
Figure of merit
Matrix converters
MIMO
MIMO (control systems)
MIMO communication
Optimization
Performance evaluation
Precoding
precoding/beamforming
Relay systems
Relays
two-way relay channel
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Summary:Energy efficiency (EE) is a key figure of merit for designing the next generation of communication systems. Meanwhile, relay-based cooperative communication, through machine-to-machine and other related technologies, is also playing an important part in the development of these systems. This paper designs an energy efficient precoding method for optimizing the EE/energy consumption of two-way multi-input multi-output (MIMO)-amplify-and-forward (AF) relay systems by using pseudo-convexity analysis to design EE-optimal precoding matrices. More precisely, we derive an EE-optimal source precoding matrix in closed-form, design a numerical approach for obtaining an optimal relay precoding matrix, prove the optimality of these matrices, when treated separately, and provide low-complexity bespoke algorithms to generate them. These matrices are then jointly optimized through an alternating optimization process that is proved to be systematically convergent. Performance evaluation indicates that our method can be globally optimal in some scenarios and that it is significantly more energy efficient (i.e., up to 60% more energy efficient) than existing EE-based one-way or two-way MIMO-AF precoding methods.
ISSN:2473-2400
2473-2400
DOI:10.1109/TGCN.2020.2984213