On the Performance of Cell-Free Massive MIMO With Low-Resolution ADCs

This paper considers an uplink cell-free massive multi-input multi-output (mMIMO) system with multi-antenna access points (APs) and users, assuming low-resolution analog-to-digital converter (ADC) architecture is employed at the APs. Leveraging on the additive quantization noise model (AQNM), we der...

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Main Authors: Yao Zhang, Meng Zhou, Xu Qiao, Haotong Cao, Longxiang Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8811486/
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spelling doaj-b81dbe0b19704003b7548c7d799dff742021-03-29T23:59:50ZengIEEEIEEE Access2169-35362019-01-01711796811797710.1109/ACCESS.2019.29370948811486On the Performance of Cell-Free Massive MIMO With Low-Resolution ADCsYao Zhang0https://orcid.org/0000-0003-4496-2650Meng Zhou1Xu Qiao2Haotong Cao3https://orcid.org/0000-0001-8916-8093Longxiang Yang4Wireless Communications Key Laboratory of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, ChinaWireless Communications Key Laboratory of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, ChinaWireless Communications Key Laboratory of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, ChinaWireless Communications Key Laboratory of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, ChinaWireless Communications Key Laboratory of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing, ChinaThis paper considers an uplink cell-free massive multi-input multi-output (mMIMO) system with multi-antenna access points (APs) and users, assuming low-resolution analog-to-digital converter (ADC) architecture is employed at the APs. Leveraging on the additive quantization noise model (AQNM), we derive a tight approximate expression for uplink spectral efficiency (SE). This trackable finding provides us with a tool for easily quantifying the impacts of the number of antenna arrays and the number of quantization bit of low-resolution ADCs. We find 5-bit is required in a cell-free mMIMO with low-resolution ADCs to achieve the same SE as a cell-free mMIMO with full-precision ADCs. Besides, when the number of antennas of the user is small, deploying more antennas at the users can boost the sum SE. Then, to further highlight the potential of low-resolution ADCs architecture, we also investigate the tradeoff between the SE and energy efficiency (EE) with design issues surrounding the quantization bit of low-resolution ADCs and the number of antenna arrays. The resulting observations reveal that by choosing a proper quantization bit, the cell-free mMIMO with low-resolution ADCs has the capability to enjoy a better SE-EE tradeoff compared to the perfect ADCs counterpart.https://ieeexplore.ieee.org/document/8811486/Cell-free mMIMOlow-resolution ADCAQNMspectral efficiencyenergy efficiency
collection DOAJ
language English
format Article
sources DOAJ
author Yao Zhang
Meng Zhou
Xu Qiao
Haotong Cao
Longxiang Yang
spellingShingle Yao Zhang
Meng Zhou
Xu Qiao
Haotong Cao
Longxiang Yang
On the Performance of Cell-Free Massive MIMO With Low-Resolution ADCs
IEEE Access
Cell-free mMIMO
low-resolution ADC
AQNM
spectral efficiency
energy efficiency
author_facet Yao Zhang
Meng Zhou
Xu Qiao
Haotong Cao
Longxiang Yang
author_sort Yao Zhang
title On the Performance of Cell-Free Massive MIMO With Low-Resolution ADCs
title_short On the Performance of Cell-Free Massive MIMO With Low-Resolution ADCs
title_full On the Performance of Cell-Free Massive MIMO With Low-Resolution ADCs
title_fullStr On the Performance of Cell-Free Massive MIMO With Low-Resolution ADCs
title_full_unstemmed On the Performance of Cell-Free Massive MIMO With Low-Resolution ADCs
title_sort on the performance of cell-free massive mimo with low-resolution adcs
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description This paper considers an uplink cell-free massive multi-input multi-output (mMIMO) system with multi-antenna access points (APs) and users, assuming low-resolution analog-to-digital converter (ADC) architecture is employed at the APs. Leveraging on the additive quantization noise model (AQNM), we derive a tight approximate expression for uplink spectral efficiency (SE). This trackable finding provides us with a tool for easily quantifying the impacts of the number of antenna arrays and the number of quantization bit of low-resolution ADCs. We find 5-bit is required in a cell-free mMIMO with low-resolution ADCs to achieve the same SE as a cell-free mMIMO with full-precision ADCs. Besides, when the number of antennas of the user is small, deploying more antennas at the users can boost the sum SE. Then, to further highlight the potential of low-resolution ADCs architecture, we also investigate the tradeoff between the SE and energy efficiency (EE) with design issues surrounding the quantization bit of low-resolution ADCs and the number of antenna arrays. The resulting observations reveal that by choosing a proper quantization bit, the cell-free mMIMO with low-resolution ADCs has the capability to enjoy a better SE-EE tradeoff compared to the perfect ADCs counterpart.
topic Cell-free mMIMO
low-resolution ADC
AQNM
spectral efficiency
energy efficiency
url https://ieeexplore.ieee.org/document/8811486/
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