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...
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| Veröffentlicht in: | Discover Internet of things 2021-12, Vol.1 (1), Article 9 |
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| creator | Armando, Ngombo Almeida, Rui Fernandes, José Marcelo Silva, Jorge Sá Boavida, Fernando |
| 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. |
| doi_str_mv | 10.1007/s43926-021-00008-5 |
| format | Article |
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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.</description><identifier>ISSN: 2730-7239</identifier><identifier>EISSN: 2730-7239</identifier><identifier>DOI: 10.1007/s43926-021-00008-5</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Blended learning ; Case Study ; Computer Science ; Cyber-physical systems ; Design ; Education ; Electrical Engineering ; Flexibility ; Information Systems Applications (incl.Internet) ; Internet of Things ; IoT ; Learning activities ; Mobile communications networks ; Music ; Online instruction ; School environment ; Sensors ; Students ; Teachers ; Teaching</subject><ispartof>Discover Internet of things, 2021-12, Vol.1 (1), Article 9</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3335-4197652a1a6be979e3eb038623af6a6ad763491ebe8578311c1069082483cd373</citedby><cites>FETCH-LOGICAL-c3335-4197652a1a6be979e3eb038623af6a6ad763491ebe8578311c1069082483cd373</cites><orcidid>0000-0002-6273-1285 ; 0000-0002-1347-0242 ; 0000-0003-4930-1587 ; 0000-0001-7493-4365 ; 0000-0001-8630-8767</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s43926-021-00008-5$$EPDF$$P50$$Gspringer$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://doi.org/10.1007/s43926-021-00008-5$$EHTML$$P50$$Gspringer$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,864,885,27924,27925,41120,41488,42189,42557,51319,51576</link.rule.ids></links><search><creatorcontrib>Armando, Ngombo</creatorcontrib><creatorcontrib>Almeida, Rui</creatorcontrib><creatorcontrib>Fernandes, José Marcelo</creatorcontrib><creatorcontrib>Silva, Jorge Sá</creatorcontrib><creatorcontrib>Boavida, Fernando</creatorcontrib><title>End-to-end experimentation of a 5G vertical within the scope of blended learning</title><title>Discover Internet of things</title><addtitle>Discov Internet Things</addtitle><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. 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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.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s43926-021-00008-5</doi><orcidid>https://orcid.org/0000-0002-6273-1285</orcidid><orcidid>https://orcid.org/0000-0002-1347-0242</orcidid><orcidid>https://orcid.org/0000-0003-4930-1587</orcidid><orcidid>https://orcid.org/0000-0001-7493-4365</orcidid><orcidid>https://orcid.org/0000-0001-8630-8767</orcidid><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Springer Nature OA/Free Journals; SpringerLink Journals - AutoHoldings |
| subjects | Blended learning Case Study Computer Science Cyber-physical systems Design Education Electrical Engineering Flexibility Information Systems Applications (incl.Internet) Internet of Things IoT Learning activities Mobile communications networks Music Online instruction School environment Sensors Students Teachers Teaching |
| title | End-to-end experimentation of a 5G vertical within the scope of blended learning |
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