Cell-Free Massive MIMO Systems With Low Resolution ADCs

This paper investigates the achievable performance of cell-free massive multiple-input multiple-output (MIMO) systems with low resolution analog-to-digital converters (ADCs) at both the access points (APs) and users. A closed-form expression for the achievable rate is derived, which enables the stud...

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Published inIEEE transactions on communications Vol. 67; no. 10; pp. 6844 - 6857
Main Authors Hu, Xiaoling, Zhong, Caijun, Chen, Xiaoming, Xu, Weiqiang, Lin, Hai, Zhang, Zhaoyang
Format Journal Article
LanguageEnglish
Published New York IEEE 01.10.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Analog to digital conversion
Analog to digital converters
Antennas
Cell free
Channel estimation
Constraints
Control systems
Energy resolution
Fading channels
low-resolution ADCs
massive MIMO
Mathematical analysis
MIMO (control systems)
Power control
Resource management
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Abstract This paper investigates the achievable performance of cell-free massive multiple-input multiple-output (MIMO) systems with low resolution analog-to-digital converters (ADCs) at both the access points (APs) and users. A closed-form expression for the achievable rate is derived, which enables the study of the effects of AP number, antenna number per AP, user number, and ADC resolution on the achievable rate. In addition, a simple asymptotic approximation for the individual user rate is presented, which shows that the user rate is mainly constrained by the ADC resolution at the user. Moreover, we propose an ADC resolution bits allocation scheme aiming at maximizing the sum rate subject to the total ADC resolution bits constraint, which substantially outperforms the equal ADC resolution bits allocation scheme. Furthermore, a max-min power control scheme is proposed, which not only ensures user fairness, but also improves the achievable rate. Finally, simulation results are provided to corroborate the analytical results.
AbstractList This paper investigates the achievable performance of cell-free massive multiple-input multiple-output (MIMO) systems with low resolution analog-to-digital converters (ADCs) at both the access points (APs) and users. A closed-form expression for the achievable rate is derived, which enables the study of the effects of AP number, antenna number per AP, user number, and ADC resolution on the achievable rate. In addition, a simple asymptotic approximation for the individual user rate is presented, which shows that the user rate is mainly constrained by the ADC resolution at the user. Moreover, we propose an ADC resolution bits allocation scheme aiming at maximizing the sum rate subject to the total ADC resolution bits constraint, which substantially outperforms the equal ADC resolution bits allocation scheme. Furthermore, a max-min power control scheme is proposed, which not only ensures user fairness, but also improves the achievable rate. Finally, simulation results are provided to corroborate the analytical results.
Author Zhang, Zhaoyang
Hu, Xiaoling
Zhong, Caijun
Lin, Hai
Xu, Weiqiang
Chen, Xiaoming
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Snippet This paper investigates the achievable performance of cell-free massive multiple-input multiple-output (MIMO) systems with low resolution analog-to-digital...
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SubjectTerms Analog to digital conversion
Analog to digital converters
Antennas
Cell free
Channel estimation
Constraints
Control systems
Energy resolution
Fading channels
low-resolution ADCs
massive MIMO
Mathematical analysis
MIMO (control systems)
Power control
Resource management
Title Cell-Free Massive MIMO Systems With Low Resolution ADCs
URI https://ieeexplore.ieee.org/document/8756265
https://www.proquest.com/docview/2307232135
Volume 67
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