| Short name | Deliverable | Abstract |
|---|---|---|
| 6G-EDGEDT-01-E5 | System architecture v1 | This document presents the initial system design of the 6G-EDGEDT-01 architecture.
It defines the main entities and building blocks of the system architecture that achieves orchestration of hyper-distributed Edge using emerging concepts of computing, connectivity, and AI in Industry 4.0. The document considers an open edge ecosystem tailored to host decentralized applications operating over the existing IoT-Edge-Cloud computing continuum. This deliverable starts with defining the existing challenges in the state-of-the-art, that are later on used as main pillars in the conceptual design of an architecture for the hyper-distributed edge. |
| 6G-EDGEDT-01-E6 | System architecture v2 | This document presents the revised system design of the 6G-EDGEDT-01 architecture. It defines the main entities and building blocks of the main component of the initial system architecture, the AEN. The document considers the concept of Zero Touch Automation of an open edge ecosystem tailored to host decentralized applications operating over the existing IoT-Edge-Cloud computing continuum. This deliverable starts with defining the key objectives in realizing the Zero Touch Automation at a telecom operator platform, that are later on used as main pillars for the development of the key enablers and the re-design of an architecture for the hyper-distributed edge. |
| 6G-EDGEDT-02-E5 |
|
|
| 6G-EDGEDT-02-E6 | Extensions to 3GPP EdgeApp for industrial robotics in constrained devices | This deliverable contains information on architectural extensions to 3GPP EdgeApp for industrial robotics in constrained devices, considering digital twining in the factory floor as a starting point. Firstly, we describe basic concepts, as well as the original architecture. Afterwards, we analyze related works in industry and academia. Finally, after studying missing gaps in the field, we propose particular extensions for 3GPP EdgeApp, as well as its implications in terms of devices at the edge, and associated discovery and routing services. |
| 6G-EDGEDT-03-E5 | Initial architecture document with SoTa analysis including related standards | With the support of artificial intelligence, the digital transformation through the lens of a Digital Twin has been emerged in many industries such as manufacturing, oil and gas, construction, bio-engineering, and automotive. However, concept of Digital Twins remains relatively unexploited for 5G/6G networks, despite the obvious potential in helping develop and deploy the complex 5G environment. These deliverable studies the current State-of-the-Art regarding Network Digital Twins and discusses the open challenges that will enable Digital Twin solution to be applied as tool to fulfil the potential of 5G networks and beyond. |
| 6G-EDGEDT-03-E6 | Revised version of the distributed edge architecture | With the support of artificial intelligence, the digital transformation through the lens of a Digital Twin has been emerged in many industries such as manufacturing, oil and gas, construction, bio-engineering, and automotive. However, concept of Digital Twins remains relatively unexploited for 5G/6G networks, despite the obvious potential in helping develop and deploy the complex 5G environment. This deliverable proposes an initial architecture for Network Digital Twins that is compatible with existing SDOs and is designed to spread across the entire compute continuum. |
| 6G-EDGEDT-03-E12 |
|
This deliverable presents the architecture of a monitoring solution designed to capture, process and exploit data from network elements to generate efficient digital twins capable of accurately depicting the actual state of the physical network they represent. It proposes harnessing the capabilities of cutting-edge tools employed in data processing pipelines in order to efficiently train and continuously update the digital twin. The design presented in this document serves as the basis for Deliverable E13 in the context of the 6G-EDGEDT project. |
| 6G-EDGEDT-04-E5 | Abstractions for the DT gNB | This document presents all available data structures for the construction of the gNB-DT, and explains some examples from the literature to identify the minimum data required for each of them. It defines the main entities which interact with the gNB, and those which participate in the process of extracting the data. In addition, the document includes some deployment options for the gNB-DT, and the different ways of obtaining the information for each case. |
| 6G-EDGEDT-04-E6 |
|
This document presents a model to serve as a reference for future development of DT gNBs, describing necessities and challenges, and presents an architecture of functional blocks, detailing their interactions and interfaces. The model is designed to be aligned with the standard of a Network DT proposed by IETF. To finalize, deployment options over the are reviewed. |
| 6G-EDGEDT-04-E11 |
|
This report presents an in-depth analysis of Digital Twins (DTs) in the context of 5G and emerging 6G networks, with a focus on gNB (Next Generation Node B) systems. It explores the integration and application of DTs in OpenRAN architectures, highlighting their pivotal role in optimizing network performance. The document delves into the essential monitoring tools for gNB DTs, examining key parameters and methodologies. It concludes by discussing the strategic value of gNB DTs in network management, addressing current challenges, and envisioning future developments in DT technology for advanced telecommunication networks |
