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5G-enabled Growth in Vertical Industries

Deliverables

First periodic report of the project

This report constitutes the non-financial part of the Periodic Report to be delivered two months after the end of the period (M20).

Project handbook

Set-up of management procedures and documentation handbook.

Initial design of 5G End-to-End Service Platform

This deliverable will present the gap analysis made over 5G-TRANSFORMER and other 5G systems in terms of functional and technical requirements to satisfy 5Growth use cases. This deliverable will use 5G-TRANSFORMER system design as a baseline, including vertical slicer, service orchestrator, resource layer and interfaces among them, to propose an initial 5G end-to-end system design that incorporate functional and technical innovations (e.g. algorithms, new functional blocks and interfaces).

Specification of ICT17 in-house deployment

Deliverable containing the technical solution for an in-house business validation of the vertical use cases.

Techno-economic analysis and business model validation methodology

Development of a techno-economic analysis focused on the defined business models and identification of the methodology that will be used to validate the business model.

Communication, Dissemination, and Exploitation achievements of Y1 and plan for Y2

This deliverable will report the achievements of WP5 during the first year and will present an update of the Communication, Dissemination, and Exploitation Plan (CoDEP) after the initial phase of the project.

Initial Communication, Dissemination, and Exploitation Plan (CoDEP) draft including Standardization roadmap

Report on the initial CoDEP Plan and the roadmap for the coordinated standardization activities.

Service and core KPI specification

Definition of service and core KPIs, and their relationships.

ICT-17 facilities Gap analysis

Deliverable of the result of the gap analysis with the ICT-17 platforms

Business model design

Revision of the technical and functional requirements and designing the business models from different stakeholders in the framework of the 5Growth Project.

Verification methodology and tool design

Measurement and data collection methodologies and tools. Report on initial results in ICT-17 premises

Plan for Pilot deployments

Document explaining the step by step approach to the deployment of the pilots in vertical industries premises.

Demonstrations at EUCNC or equivalent

Demonstration: Technology demonstration in a high impact venue, such as EuCNC or similar venue.

Initial implementation of 5G End-to-End Service Platform

Reference implementation of 5Growth baseline system and skeleton for enhancements and innovations. Software

First version of software implementation for the platform

First version of the platform software will be available in the Git of the project. Software

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Publications

Service Shifting: A Paradigm for Service Resilience in 5G

Author(s): Francesco Malandrino, Carla Fabiana Chiasserini, Giada Landi
Published in: IEEE Communications Magazine, Issue 57/9, 2019, Page(s) 120-125, ISSN 0163-6804
DOI: 10.1109/MCOM.2019.1800986

DeepCog: Optimizing Resource Provisioning in Network Slicing with AI-based Capacity Forecasting

Author(s): Dario Bega, Marco Gramaglia, Marco Fiore, Albert Banchs, Xavier Costa-Perez
Published in: IEEE Journal on Selected Areas in Communications, 2020, Page(s) 1-1, ISSN 0733-8716
DOI: 10.1109/JSAC.2019.2959245

An Edge-Based Framework for Enhanced Road Safety of Connected Cars

Author(s): Marco Malinverno, Josep Mangues-Bafalluy, Claudio Ettore Casetti, Carla Fabiana Chiasserini, Manuel Requena-Esteso, Jorge Baranda
Published in: IEEE Access, Issue 8, 2020, Page(s) 58018-58031, ISSN 2169-3536
DOI: 10.1109/access.2020.2980902

Demo - vrAIn Proof-of-Concept -- A Deep Learning Approach for Virtualized RAN Resource Control

Author(s): Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Gramaglia, Xavier Costa-Perez, Albert Banchs, Juan J. Alcaraz
Published in: The 25th Annual International Conference on Mobile Computing and Networking - MobiCom '19, 2019, Page(s) 1-3
DOI: 10.1145/3300061.3343370

vrAIn - A Deep Learning Approach Tailoring Computing and Radio Resources in Virtualized RANs

Author(s): Jose A. Ayala-Romero, Andres Garcia-Saavedra, Marco Gramaglia, Xavier Costa-Perez, Albert Banchs, Juan J. Alcaraz
Published in: The 25th Annual International Conference on Mobile Computing and Networking - MobiCom '19, 2019, Page(s) 1-16
DOI: 10.1145/3300061.3345431