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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Vydané v:	IEEE transactions on green communications and networking Ročník 5; číslo 1; s. 119 - 132
Hlavní autori:	Kaushik, Aryan, Vlachos, Evangelos, Tsinos, Christos, Thompson, John, Chatzinotas, Symeon
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.03.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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Abstract	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.
AbstractList	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.
Author	Thompson, John Tsinos, Christos Kaushik, Aryan Vlachos, Evangelos Chatzinotas, Symeon
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SubjectTerms	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
Title	Joint Bit Allocation and Hybrid Beamforming Optimization for Energy Efficient Millimeter Wave MIMO Systems
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