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Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future
This paper aims to unlock the unlicensed band potential in realizing the Industry 4.0 communication goals of the Fifth-Generation (5G) and beyond. New Radio in the Unlicensed band (NR-U) is a new NR Release 16 mode of operation that has the capability to offer the necessary technology for cellular o...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285771/ https://www.ncbi.nlm.nih.gov/pubmed/32414188 http://dx.doi.org/10.3390/s20102774 |
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author | Bajracharya, Rojeena Shrestha, Rakesh Jung, Haejoon |
author_facet | Bajracharya, Rojeena Shrestha, Rakesh Jung, Haejoon |
author_sort | Bajracharya, Rojeena |
collection | PubMed |
description | This paper aims to unlock the unlicensed band potential in realizing the Industry 4.0 communication goals of the Fifth-Generation (5G) and beyond. New Radio in the Unlicensed band (NR-U) is a new NR Release 16 mode of operation that has the capability to offer the necessary technology for cellular operators to integrate the unlicensed spectrum into 5G networks. NR-U enables both uplink and downlink operation in unlicensed bands, supporting 5G advanced features of ultra-high-speed, high bandwidth, low latency, and improvement in the reliability of wireless communications, which is essential to address massive-scale and highly-diverse future industrial networks. This paper highlights NR-U as a next-generation communication technology for smart industrial network communication and discusses the technology trends adopted by 5G in support of the Industry 4.0 revolution. However, due to operation in the shared/unlicensed spectrum, NR-U possesses several regulatory and coexistence challenges, limiting its application for operationally intensive environments such as manufacturing, supply chain, transportation systems, and energy. Thus, we discuss the significant challenges and potential solution approaches such as shared maximum channel occupancy time (MCOT), handover skipping, the self-organized network (SON), the adaptive back-off mechanism, and the multi-domain coexistence approach to overcome the unlicensed/shared band challenges and boost the realization of NR-U technology in mission-critical industrial applications. Further, we highlight the role of machine learning in providing the necessary intelligence and adaptation mechanisms for the realization of industrial 5G communication goals. |
format | Online Article Text |
id | pubmed-7285771 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-72857712020-06-15 Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future Bajracharya, Rojeena Shrestha, Rakesh Jung, Haejoon Sensors (Basel) Review This paper aims to unlock the unlicensed band potential in realizing the Industry 4.0 communication goals of the Fifth-Generation (5G) and beyond. New Radio in the Unlicensed band (NR-U) is a new NR Release 16 mode of operation that has the capability to offer the necessary technology for cellular operators to integrate the unlicensed spectrum into 5G networks. NR-U enables both uplink and downlink operation in unlicensed bands, supporting 5G advanced features of ultra-high-speed, high bandwidth, low latency, and improvement in the reliability of wireless communications, which is essential to address massive-scale and highly-diverse future industrial networks. This paper highlights NR-U as a next-generation communication technology for smart industrial network communication and discusses the technology trends adopted by 5G in support of the Industry 4.0 revolution. However, due to operation in the shared/unlicensed spectrum, NR-U possesses several regulatory and coexistence challenges, limiting its application for operationally intensive environments such as manufacturing, supply chain, transportation systems, and energy. Thus, we discuss the significant challenges and potential solution approaches such as shared maximum channel occupancy time (MCOT), handover skipping, the self-organized network (SON), the adaptive back-off mechanism, and the multi-domain coexistence approach to overcome the unlicensed/shared band challenges and boost the realization of NR-U technology in mission-critical industrial applications. Further, we highlight the role of machine learning in providing the necessary intelligence and adaptation mechanisms for the realization of industrial 5G communication goals. MDPI 2020-05-13 /pmc/articles/PMC7285771/ /pubmed/32414188 http://dx.doi.org/10.3390/s20102774 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Bajracharya, Rojeena Shrestha, Rakesh Jung, Haejoon Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future |
title | Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future |
title_full | Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future |
title_fullStr | Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future |
title_full_unstemmed | Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future |
title_short | Future Is Unlicensed: Private 5G Unlicensed Network for Connecting Industries of Future |
title_sort | future is unlicensed: private 5g unlicensed network for connecting industries of future |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285771/ https://www.ncbi.nlm.nih.gov/pubmed/32414188 http://dx.doi.org/10.3390/s20102774 |
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