Cell-Free and User-Centric Massive MIMO Architectures for Reliable Communications in Indoor Factory Environments
Factory automation is one of the use cases for 5G-and-beyond mobile networks where strict requirements in terms of latency, availability and reliability are required. In this paper, we investigate the potentials of massive MIMO in delivering those promises for industrial automation. Namely, communic...
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doaj-cfc121939f7d48378d12bb9917daf2ee2021-06-24T23:00:38ZengIEEEIEEE Open Journal of the Communications Society2644-125X2021-01-0121390140410.1109/OJCOMS.2021.30892819457048Cell-Free and User-Centric Massive MIMO Architectures for Reliable Communications in Indoor Factory EnvironmentsMario Alonzo0https://orcid.org/0000-0003-1146-708XPaolo Baracca1https://orcid.org/0000-0003-3249-3594Saeed R. Khosravirad2https://orcid.org/0000-0002-3087-4142Stefano Buzzi3https://orcid.org/0000-0003-0046-8968Department of Electrical and Information Engineering, University of Cassino and Southern Latium, Cassino, ItalyNokia Bell Labs, Stuttgart, GermanyNokia Bell Labs, Murray Hill, NJ, USADepartment of Electrical and Information Engineering, University of Cassino and Southern Latium, Cassino, ItalyFactory automation is one of the use cases for 5G-and-beyond mobile networks where strict requirements in terms of latency, availability and reliability are required. In this paper, we investigate the potentials of massive MIMO in delivering those promises for industrial automation. Namely, communications between actuators (ACs) and Access Points (APs) inside an industrial scenario is considered and different transmission modes are compared: joint transmission (JT) where the distributed antennas are used to communicate with each AC, cell-free transmission (CFT) where all the ACs are served by all APs, single AP transmission (SAT) where each AC is served by only one AP, and user-centric transmission (UCT) where each AC is served by a subset of APs. A power control strategy, aimed at maximizing the minimum signal-to-interference plus noise ratio (SINR), is also introduced. Numerical results, shown in terms of downlink SINR and achievable rate, evaluated using the final block length capacity formula (FBLC), demonstrate that the use of distributed antenna setting and of power control bring substantial performance improvements in terms of reliability and latency.https://ieeexplore.ieee.org/document/9457048/Distributed MIMOcell-free massive MIMOuser-centric approachmicrowavesignal-to-interference plus noise ratiopower control |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mario Alonzo Paolo Baracca Saeed R. Khosravirad Stefano Buzzi |
spellingShingle |
Mario Alonzo Paolo Baracca Saeed R. Khosravirad Stefano Buzzi Cell-Free and User-Centric Massive MIMO Architectures for Reliable Communications in Indoor Factory Environments IEEE Open Journal of the Communications Society Distributed MIMO cell-free massive MIMO user-centric approach microwave signal-to-interference plus noise ratio power control |
author_facet |
Mario Alonzo Paolo Baracca Saeed R. Khosravirad Stefano Buzzi |
author_sort |
Mario Alonzo |
title |
Cell-Free and User-Centric Massive MIMO Architectures for Reliable Communications in Indoor Factory Environments |
title_short |
Cell-Free and User-Centric Massive MIMO Architectures for Reliable Communications in Indoor Factory Environments |
title_full |
Cell-Free and User-Centric Massive MIMO Architectures for Reliable Communications in Indoor Factory Environments |
title_fullStr |
Cell-Free and User-Centric Massive MIMO Architectures for Reliable Communications in Indoor Factory Environments |
title_full_unstemmed |
Cell-Free and User-Centric Massive MIMO Architectures for Reliable Communications in Indoor Factory Environments |
title_sort |
cell-free and user-centric massive mimo architectures for reliable communications in indoor factory environments |
publisher |
IEEE |
series |
IEEE Open Journal of the Communications Society |
issn |
2644-125X |
publishDate |
2021-01-01 |
description |
Factory automation is one of the use cases for 5G-and-beyond mobile networks where strict requirements in terms of latency, availability and reliability are required. In this paper, we investigate the potentials of massive MIMO in delivering those promises for industrial automation. Namely, communications between actuators (ACs) and Access Points (APs) inside an industrial scenario is considered and different transmission modes are compared: joint transmission (JT) where the distributed antennas are used to communicate with each AC, cell-free transmission (CFT) where all the ACs are served by all APs, single AP transmission (SAT) where each AC is served by only one AP, and user-centric transmission (UCT) where each AC is served by a subset of APs. A power control strategy, aimed at maximizing the minimum signal-to-interference plus noise ratio (SINR), is also introduced. Numerical results, shown in terms of downlink SINR and achievable rate, evaluated using the final block length capacity formula (FBLC), demonstrate that the use of distributed antenna setting and of power control bring substantial performance improvements in terms of reliability and latency. |
topic |
Distributed MIMO cell-free massive MIMO user-centric approach microwave signal-to-interference plus noise ratio power control |
url |
https://ieeexplore.ieee.org/document/9457048/ |
work_keys_str_mv |
AT marioalonzo cellfreeandusercentricmassivemimoarchitecturesforreliablecommunicationsinindoorfactoryenvironments AT paolobaracca cellfreeandusercentricmassivemimoarchitecturesforreliablecommunicationsinindoorfactoryenvironments AT saeedrkhosravirad cellfreeandusercentricmassivemimoarchitecturesforreliablecommunicationsinindoorfactoryenvironments AT stefanobuzzi cellfreeandusercentricmassivemimoarchitecturesforreliablecommunicationsinindoorfactoryenvironments |
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1721361016995971072 |