| 1. |
- Cavaliere, Fabio, et al.
(author)
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Towards a unified fronthaul-backhaul data plane for 5G The 5G-Crosshaul project approach
- 2017
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In: Computer Standards and Interfaces. - : Elsevier BV. - 0920-5489. ; 51, s. 56-62
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Journal article (peer-reviewed)abstract
- The paper presents a study of key aspects in the design of a flexible unified data plane capable of integrating both fronthaul and backhaul transport in future 5G systems. In this study, we first review candidate access and multiplexing technologies from the state of the art and assess their capability to support legacy and new fronthaul and backhaul traffic. We then propose a new design framework for the targeted flexible unified data plane, featuring a primary packet-switching path supported by an auxiliary circuit-switching for extreme low latency scenarios. This comprises a summary of the first results achieved in the 5G-Crosshaul EU project since its kick-off in July 2015.
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| 2. |
- Conceicao, Filipe, et al.
(author)
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Empowering industry 4.0 and autonomous drone scouting use cases through 5G-DIVE solution
- 2021
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In: 2021 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2021. - 2575-4912. - 9781665415262 ; , s. 265-270
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Conference paper (peer-reviewed)abstract
- The 5G Edge Intelligence for Vertical Experimentation (5G-DIVE) project aims at demonstrating the technical merits and business value proposition of 5G technologies in two vertical pilots, namely the Industry 4.0 (I4.0) and Autonomous Drones Scout (ADS) pilots. This paper presents an overview of the overall 5G-DIVE solution and reports the results of the initial validation campaign of the selected use case, featuring 5G connectivity, distributed Edge computing, and artificial intelligence. The initial results for the I4.0 provide a baseline for next step validation campaign targeting a broader scale 5G implementation, while the ADS results provides promising results for enhancing the autonomous navigation in real-time.
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| 3. |
- Guimarães, Carlos, et al.
(author)
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DEEP : A Vertical-Oriented Intelligent and Automated Platform for the Edge and Fog
- 2021
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In: IEEE Communications Magazine. - : IEEE. - 0163-6804 .- 1558-1896. ; 59:6, s. 66-72
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Journal article (peer-reviewed)abstract
- The fifth generation (5G) of mobile communications introduces improvements on many fronts when compared to its previous generations. Besides the performance enhancements and new advances in radio technologies, it also integrates other technological domains, such as cloud-to-things continuum and artificial intelligence. In this work, the 5G-DIVE Elastic Edge Platform (DEEP) is proposed as the linking piece for the integration of these technological domains, making available an intelligent edge and fog 5G end-to-end solution. This solution brings numerous benefits to vertical industries by enabling streamlined, abstracted, and automated management of their vertical services, thus contributing to the introduction of novel services, cost savings, and improved time to market. Preliminary validation of the proposed platform is performed through a proof of concept, along with a qualitative analysis of its benefits for Industry 4.0 and autonomous drone scouting vertical industries.
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