Statistical analysis of received signal strength in industrial IoT distributed massive MIMO systems |
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Author: | Tominaga, Eduardo Noboro1; López, Onel Luiz Alcaraz1; Souza, Richard Demo2; |
Organizations: |
16G Flagship, Centre for Wireless Communications (CWC), University of Oulu, Finland 2Federal University of Santa Catarina (UFSC), Florianópolis, Brazil |
Format: | article |
Version: | accepted version |
Access: | open |
Online Access: | PDF Full Text (PDF, 0.4 MB) |
Persistent link: | http://urn.fi/urn:nbn:fi-fe2022092059579 |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers,
2022
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Publish Date: | 2022-09-20 |
Description: |
AbstractThe Fifth Generation (5G) of wireless networks introduced native support for Machine-Type Communication (MTC), which is a key enabler for the Internet of Things (IoT) revolution. Current 5G standards are not yet capable of fully satisfying the requirements of critical MTC (cMTC) and massive MTC (mMTC) use cases. This is the main reason why industry and academia have already started working on technical solutions for beyond-5G and Sixth Generation (6G) networks. One technological solution that has been extensively studied is the combination of network densification, massive Multiple-Input Multiple-Output (mMIMO) systems and user-centric design, which is known as distributed mMIMO or Cell-Free (CF) mMIMO. Under this new paradigm, there are no longer cell boundaries: all the Access Points (APs) on the network cooperate to jointly serve all the devices. In this paper, we compare the performance of traditional mMIMO and different distributed mMIMO setups, and quantity the macro diversity and signal spatial diversity performance they provide. Aiming at the uplink in industrial indoor scenarios, we adopt a path loss model based on real measurement campaigns. Monte Carlo simulation results show that the grid deployment of APs provide higher average channel gains, but radio stripes deployments provide lower variability of the received signal strength. see all
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Series: |
European Conference on Networks and Communications |
ISSN: | 2475-6490 |
ISSN-E: | 2575-4912 |
ISSN-L: | 2475-6490 |
ISBN: | 978-1-6654-9871-5 |
ISBN Print: | 978-1-6654-9872-2 |
Pages: | 1 - 6 |
DOI: | 10.1109/eucnc/6gsummit54941.2022.9815602 |
OADOI: | https://oadoi.org/10.1109/eucnc/6gsummit54941.2022.9815602 |
Host publication: |
2022 Joint European conference on networks and communications & 6G summit (EuCNC/6G summit), 07-10 June 2022, Grenoble, France |
Conference: |
Joint European Conference on Networks and Communications & 6G Summit |
Type of Publication: |
A4 Article in conference proceedings |
Field of Science: |
213 Electronic, automation and communications engineering, electronics |
Subjects: | |
Funding: |
This research has been financially supported by Academy of Finland, 6Genesis Flagship (grant no. 318937), European Union’s Horizon 2020 research and innovation programme (EU-H2020), Hexa-X project (grant no. 101015956) and CNPq (Brazil). |
EU Grant Number: |
(101015956) Hexa-X - A flagship for B5G/6G vision and intelligent fabric of technology enablers connecting human, physical, and digital worlds |
Academy of Finland Grant Number: |
318927 |
Detailed Information: |
318927 (Academy of Finland Funding decision) |
Copyright information: |
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