Joint Bit Allocation and Hybrid Beamforming Optimization for Energy Efficient Millimeter Wave MIMO Systems

In this article, we aim to design highly energy efficient end-to-end communication for millimeter wave multiple-input multiple-output systems. This is done by jointly optimizing the digital-to-analog converter (DAC)/analog-to-digital converter (ADC) bit resolutions and hybrid beamforming matrices. T...

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Bibliographic Details
Published in:IEEE transactions on green communications and networking Vol. 5; no. 1; pp. 119 - 132
Main Authors: Kaushik, Aryan, Vlachos, Evangelos, Tsinos, Christos, Thompson, John, Chatzinotas, Symeon
Format: Journal Article
Language:English
Published: Piscataway IEEE 01.03.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Analog to digital conversion
Analog to digital converters
Analog-digital conversion
Array signal processing
Beamforming
beyond 5G wireless communications
Digital to analog conversion
Digital to analog converters
Energy conversion efficiency
energy efficiency maximization
Energy resolution
Joint bit resolution and hybrid beamforming optimization
Matrix decomposition
millimeter wave MIMO
Millimeter waves
MIMO (control systems)
MIMO communication
Optimization
Radio frequency
ISSN:2473-2400, 2473-2400
Online Access:Get full text
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Summary:In this article, we aim to design highly energy efficient end-to-end communication for millimeter wave multiple-input multiple-output systems. This is done by jointly optimizing the digital-to-analog converter (DAC)/analog-to-digital converter (ADC) bit resolutions and hybrid beamforming matrices. The novel decomposition of the hybrid precoder and the hybrid combiner to three parts is introduced at the transmitter (TX) and the receiver (RX), respectively, representing the analog precoder/combiner matrix, the DAC/ADC bit resolution matrix and the baseband precoder/combiner matrix. The unknown matrices are computed as a solution to the matrix factorization problem where the optimal fully digital precoder or combiner is approximated by the product of these matrices. A novel and efficient solution based on the alternating direction method of multipliers is proposed to solve these problems at both the TX and the RX. The simulation results show that the proposed solution, where the DAC/ADC bit allocation is dynamic during operation, achieves higher energy efficiency when compared with existing benchmark techniques that use fixed DAC/ADC bit resolutions.
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ISSN:2473-2400
2473-2400
DOI:10.1109/TGCN.2020.3026725