Data integration of netWorks and applications for eNhanced management towards 6G

Project DAWN6G
Project Key Information

Project Status: set-up

Start Date: October 2024

End Date: March 2027

Budget (total): 6174.89 K€

Effort:  72.31 PY

Project-ID: C2024/1-4

Project Coordinator

Name: Antonio Cuadra-Sanchez

Company: Indra Soluciones Tecnologías de la Información, S.L.

Country: Spain

E-mail: acuadra@minsait.com

Project Consortium

Orange Polska S.A., Poland
Warsaw University, Poland
University of Krakow AGH, Poland
Instituto de Telecomunicações, Portugal
Wavecom, Portugal
Indra Soluciones Tecnologías de la Información, S.L., Spain
Nokia Spain SA, Spain
RISE Research Institutes of Sweden AB, Sweden
Lund University, Sweden
Alkit Communications, Sweden
Ericsson AB (EAB), Sweden
Sveriges Television (SVT), Sweden
Turkcell, Türkiye

Abstract

Next generation mobile networks will require advanced management capabilities that are scalable, largely automated, and reliable in order to fully exploit future use cases. In addition, these solutions should enable the integration of data from the underlying networks and applications to enrich such advanced management capabilities. Undoubtedly, the arrival of 6G will cause the creation of a large amount of data coming from the operators and third parties, which will be essential for network and service management purposes. In this project, we will focus on developing a new framework for enhanced management of next generation mobile networks towards 6G and the over-the-top services and contents. This solution embraces new Assurance technologies as responsible for running operations -along with monitoring, fault management, measuring impact analysis and correcting to ensure best performance, including Quality of Service (QoS) and Quality of Experience (QoE)- and integrates the information from the underlying 5G+/6G networks, the platforms and the applications. In addition, DAWN6G will include specific scenarios and use cases for managing private networks including digital twins, Multiple Experience (MX) modelling and assessment, behavioural control of 6G IoT, remote management in mobility, roaming in non-public networks and optimizing the energy consumption, among others, which will be tested on the simulators and testbeds available in this project. Besides, in DAWN6G we will develop 6G-based enablers for improved 6G Network Capabilities for the exposure of data, 6G Network security mechanisms, Artificial Intelligence (AI) methods and Machine Learning (ML) algorithms, as well as enablers for the aforementioned 6G Use Cases.

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