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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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/ |
work_keys_str_mv |
AT yaozhang ontheperformanceofcellfreemassivemimowithlowresolutionadcs AT mengzhou ontheperformanceofcellfreemassivemimowithlowresolutionadcs AT xuqiao ontheperformanceofcellfreemassivemimowithlowresolutionadcs AT haotongcao ontheperformanceofcellfreemassivemimowithlowresolutionadcs AT longxiangyang ontheperformanceofcellfreemassivemimowithlowresolutionadcs |
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