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End-to-end experimentation of a 5G vertical within the scope of blended learning
The next generation of mobile networks, widely known as 5G, was designed to respond to the next 10 years’ communication challenges. 5G will be an essential structure on which all types of electronic communications will rely. Built on the emerging 5G technology, we developed a vertical solution for b...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7903933/ http://dx.doi.org/10.1007/s43926-021-00008-5 |
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author | Armando, Ngombo Almeida, Rui Fernandes, José Marcelo Silva, Jorge Sá Boavida, Fernando |
author_facet | Armando, Ngombo Almeida, Rui Fernandes, José Marcelo Silva, Jorge Sá Boavida, Fernando |
author_sort | Armando, Ngombo |
collection | PubMed |
description | The next generation of mobile networks, widely known as 5G, was designed to respond to the next 10 years’ communication challenges. 5G will be an essential structure on which all types of electronic communications will rely. Built on the emerging 5G technology, we developed a vertical solution for blended learning environments within a Portuguese national project scope. The project aims to propose an integrated demonstration of a set of products capable of being part and providing services in the future 5G networks framework. To this end, we adopted a bottom-up approach to design and develop a product named 5GOpenclasses, where we leveraged FIWARE middleware to manage all entities. This paper presents the architecture, technological platform, associated data structures, and end-user applications of 5GOpenclasses. We also present the design of innovative location-based service for blended learning environments. This paper is the first step of the proposed product towards its quantitative evaluation when running Over-the-Top on both 4G and 5G networks. Although successful unit tests were carried out in what concerns the functional outcome, the integration tests for quantitative results depend on the availability of other project components. |
format | Online Article Text |
id | pubmed-7903933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-79039332021-02-25 End-to-end experimentation of a 5G vertical within the scope of blended learning Armando, Ngombo Almeida, Rui Fernandes, José Marcelo Silva, Jorge Sá Boavida, Fernando Discov Internet Things Case Study The next generation of mobile networks, widely known as 5G, was designed to respond to the next 10 years’ communication challenges. 5G will be an essential structure on which all types of electronic communications will rely. Built on the emerging 5G technology, we developed a vertical solution for blended learning environments within a Portuguese national project scope. The project aims to propose an integrated demonstration of a set of products capable of being part and providing services in the future 5G networks framework. To this end, we adopted a bottom-up approach to design and develop a product named 5GOpenclasses, where we leveraged FIWARE middleware to manage all entities. This paper presents the architecture, technological platform, associated data structures, and end-user applications of 5GOpenclasses. We also present the design of innovative location-based service for blended learning environments. This paper is the first step of the proposed product towards its quantitative evaluation when running Over-the-Top on both 4G and 5G networks. Although successful unit tests were carried out in what concerns the functional outcome, the integration tests for quantitative results depend on the availability of other project components. Springer International Publishing 2021-02-24 2021 /pmc/articles/PMC7903933/ http://dx.doi.org/10.1007/s43926-021-00008-5 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Case Study Armando, Ngombo Almeida, Rui Fernandes, José Marcelo Silva, Jorge Sá Boavida, Fernando End-to-end experimentation of a 5G vertical within the scope of blended learning |
title | End-to-end experimentation of a 5G vertical within the scope of blended learning |
title_full | End-to-end experimentation of a 5G vertical within the scope of blended learning |
title_fullStr | End-to-end experimentation of a 5G vertical within the scope of blended learning |
title_full_unstemmed | End-to-end experimentation of a 5G vertical within the scope of blended learning |
title_short | End-to-end experimentation of a 5G vertical within the scope of blended learning |
title_sort | end-to-end experimentation of a 5g vertical within the scope of blended learning |
topic | Case Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7903933/ http://dx.doi.org/10.1007/s43926-021-00008-5 |
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