Deliverable D1.3: 5G-enabled Living Labs infrastructure

Deliverable D1.3 aims to specify the Living Lab infrastructure requirements of the equipment to be provided for the three pilot sites, Hamburg, Luka Koper and Athens, respectively. Such infrastructure includes requirements for devices needed for the port operation, maintenance equipment, local traffic management systems, and telematics on-board-units as well as connected IoT items.

Deliverable D1.1: 5G-enabled logistics use cases

The purpose of Deliverable D1.1 is to draft the scope of use cases that will be implemented and demonstrated at the three Living Labs of the project. The document includes an overview of 5G technology, describing the distinctive features/services and vertical applications that are particularly relevant for the logistics domain; such features/services are mapped to planned use cases through an application matrix showing how they contribute to their realization. 

Deliverable D2.1: Development and deployment plan

The purpose of this document is to record the first results of T2.1 being realizing a consortium wide agreed approach to develop and deploy the 5G-LOGINNOV systems in the Living Labs. With this agreed approach the deliverable serves to ensure a timely development and deployment of the innovations with high qualityaccorss all Living Lab sites.

Deliverable D1.5: Data and cyber protection policies

The use case operations in 5G-LOGINNOV and their evaluation imply the collection and the sharing of various data between the project participants especially at the Living Labs level. This deliverable serves as a guideline to manage data in a safe and secure way by providing data handling requirements and cybersecurity recommendations.

Deliverable D5.2: Dissemination Plan

The purpose of Deliverable D5.2 is to set the overall dissemination and event strategy and plan, describing the activities to be carried out and the different steps to be taken by 5G Loginnov pertaining to the project’s dissemination, ultimately assuring that project results are systematically disseminated to the expert communities and to relevant stakeholders throughout the lifetime of the project.

Deliverable D6.4: Data Management Plan

The Open access to Research Data Pilot (ORDP) aims to improve access to and re-use of research data generated by Horizon 2020 projects. 5G-LOGINNOV is fully committed to ORDP. As such, the development of a Data Management Plan (DMP) is required and is embodied in this deliverable.The 5G-LOGINNOV DMP focuses on the governance of data generated and collected during the project, considering the ethics rules and GDPR. It details what data the project will generate and what datasets will be made publicly accessible for research purposes. According to the project’s description of work, the DMP will be issued in two versions. This deliverable corresponds to the first version

Deliverable D1.2: 5G architecture and technologies for logistics use cases

Smart ports require communications systems to support low latency, high bandwidth and high reliability communication services in order to handle control and user/device data streams from various 5G-end-devices and port equipment. With legacy communication based on optical fiber and Wi-Fi, network deployment, operation and maintenance are costly and the network performance for such data handling is often suboptimal with poor stability and low reliability. 5G is expected to address such challenges thanks to its low latency, large bandwidth, capacity and high reliability as well as its support for private network solutions and end-to-end (E2E) application performance guarantee.

Deliverable D4.1: Plan for boosting market-place and emergence of new actors

The purpose of this deliverable  is to provide the baseline information to implement the 5G-LOGINNOV activities to boost market possibilities and involve new actors and start-ups in the project process. Thus, the document reports the main findings from the Task 4.1 “Strategy supporting next generation logistics operations”. The document highlights the stakeholders’ needs, gains and pains, and interactions needed to enhance the uptake of 5G-enabled core technologies and of other linked innovations. Based on these results and on parallel 5G-LOGINNOV activities, this deliverable defines the 5G-LOGINNOV approach to enhance market opportunities of the new actors that will be involved in the project timeline.

Deliverable 1.4: Initial specification of evaluation and KPIs

This deliverable presents the evaluation methodology that will be carried out in order to evaluate the impact of the use cases that will be deployed, tested and demonstrated in the 5G-LOGINNOV project. The proposed approach consists of an Action Plan that specifies the list of actions and a qualitative and quantitative analysis.This document also proposes a procedure to assess the importance of Critical Success Factors for port operations optimization. Similarly, the output of this analysis is a ranking of Critical Success Factors based on their importance for the optimization of port operations from the different points of views of the respondents.

Deliverable 5.1: Communication Channels and Plan

Deliverable 5.1 will set out the overall communication strategy, plan, and channels to be used by consortium members through the lifecycle of the project. The document will provide guidelines and tools for promoting and diffusing project actions and results.This deliverable is a living document and will be updated once a year, following the annual review. In its updates, the document will include a list of activities the project consortium took part in and a report on the efficiency of the different communication channels. This report will be developed with the Task 5.2 Dissemination leader.


5G Experimentation for Public Safety: Technologies, Facilities and Use Cases

Authors: Mojca Volk (University of Ljubljana), Janez Sterle (Internet Institute)

Today, legacy PMRs continue to be the only group of tested, verified and certified technologies for the Public Protection and Disaster Relief (PPDR) sector. For the fifth generation (5G) to follow suit, substantial hands-on experimentation with functional, architectural and deployment aspects is required, and further test trials need to take place in order to inform and enable future verification and certification procedures for 5G to become a proven PPDR technology. This paper studies 5G PPDR experimentation associated with novel virtualized and cloud-native 5G technologies, architectures and deployment options, as well as feasibility studies and field performance and verifications trials involving vertical-specific 5G infrastructures and applications.

5G – LOGistics value chain INNOVation

Authors: Ralf Willenbrock (T-System), Pavlos Basaras (ICCS), Janez Sterle (Internet Institute), Selini Hadjidimitriou (ICOOR), Eusebiu Catana (ERTICO-ITS Europe)

This paper describes the Living Labs and the corresponding Use Cases that will be demonstrated in the context of 5G-LOGINNOV, a European Union project funded under the H2020 framework that has started in September 2020 and will last three years. After a brief introduction to the 5GLOGINNOV, the paper describes the three Living Labs, the innovations that will be introduced by the project and how the project will contribute to the future European Commission policy in the
transport and logistics domain. Finally, some preliminary conclusions are reported.

On the Distribution of ML Workloads to the Network Edge and Beyond

Authors: Georgios Drainakis, Panagiotis Pantazopoulos, Konstantinos V. Katsaros, Vasilis Sourlas, Angelos Amditis  (Institute of Communication and Computer Systems (ICCS))

The emerging paradigm of edge computing has revolutionized network applications, delivering computational
power closer to the end-user. Consequently, Machine Learning (ML) tasks, typically performed in a data centre (Centralized
Learning – CL), can now be offloaded to the edge (Edge Learning – EL) or mobile devices (Federated Learning – FL). While
the inherent flexibility of such distributed schemes has drawn considerable attention, a thorough investigation on their resource consumption footprint is still missing. In our work, we consider a FL scheme and two EL variants, representing varying proximity to the end users (data sources) and corresponding levels of workload distribution across the
network; namely Access Edge Learning (AEL), where edge nodes are essentially co-located with the base stations and Regional Edge Learning (REL), where they lie towards the network core.

The 5G-LOGINNOV Project General Presentation

5G-LOGINNOV General Presentation

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‘5G ecosystems for sustainable port/hinterland connections’ Presentation

Ralf Willenbrock, T-System (5G-LOGINNOV)

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‘5G enabled business opportunities and models for new players in the logistics domain’ Presentation

Mariangela Rosano, ICOOR (5G-LOGINNOV)

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‘5G Technology Innovations and IoT solutions in Port Operations. Athens. Piraeous Container Terminal Use Case’ Presentation


‘5G Technologies for Future European Ports. Port of Koper Use Case’ Presentation


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Presentation 1

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Visual Library