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CORDIS - Forschungsergebnisse der EU
CORDIS

Satellite and Terrestrial Access for Distributed, Ubiquitous, and Smart Telecommunications

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Preliminary report on the unified air interface, user-centric and beamforming solutions (öffnet in neuem Fenster)

The deliverable preliminarily reports the achievements and enhancements related to the unified air interface, the user-centric, and the beamforming solutions. (T4.1, T4.2).

PoC preliminary design document (öffnet in neuem Fenster)

This deliverable gathers the preliminary design specifiaction of the PoC

Preliminary report on AI-data driven networking and QoS management (öffnet in neuem Fenster)

This deliverable discusses the AI-driven networking concepts to be leveraged in the overall network architecture for achieving effective and flexible QoS management

Scenario, use cases and services (öffnet in neuem Fenster)

D2.1 Scenario, use cases and services (Leader: HSP, R, PU, M06): This deliverable will describe the scenarios and use cases, provide the set of requirements and KPIs to be fulfilled at system level by the proposed architecture, and eventually defines the proof-of-concept to be later use as baseline for the demonstration

Dissemination and Communication Strategy and Plan (öffnet in neuem Fenster)

This deliverable will describe 5G-STARDUST's dissemination and communication plan. It will be a living document that will constantly evolve, considering emerging opportunities, priorities, and needs of the 5G-STARDUST ecosystem.

Preliminary report on Multi connectivity and software defined network control (öffnet in neuem Fenster)

The deliverable will introduce the preliminary achievements with respect to multi-connectivity (NTN/TN) within an SDN-based architecture

Preliminary report on AI-based radio resource management, RAN softwarisation and onboard processing (öffnet in neuem Fenster)

The deliverable reports the achievements on the AI-based radio resource management techniques and the enablers for the onboard processing (T4.3, T4.4).

Standardisation Interim Report (öffnet in neuem Fenster)

This deliverable reports on the project activities related to standardization and regulation. It describes the standardization and regulation plans, the actions performed according to the plan, and provides a measure of the created impact.

PoC functional architecture document (öffnet in neuem Fenster)

This deliverable gathers the functional architecture of the PoC

Dissemination, Communication Report and Exploitation strategy (öffnet in neuem Fenster)

Intermediate version of the report on 5G-STARDUST's communication and dissemination activities carried out during the first half of the project together with the exploitation objectives and plan

System Requirements Analysis and Specifications (öffnet in neuem Fenster)

This deliverable reports on the technical requirements derived from the scenario definition carried out within WP2 and defines the architecture specification towards the actual design detailed in the other tasks of WP3.

Open data sets for ML-based RRM (öffnet in neuem Fenster)

This deliverable will provide close to real operational data from a satellite mission. This data will fuel ML-based developments in T 4.3. (T4.3)

Open Data Sets for AI Data Driven Networking (öffnet in neuem Fenster)

This deliverable will provide close to real operational data from a satellite mission. This data will fuel ML-based developments in T5.2

Data Management Plan (öffnet in neuem Fenster)

Led by T1.5. This deliverable defines the output management plan to be used as a guidance and to track all the outputs of the project

Veröffentlichungen

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis (öffnet in neuem Fenster)

Autoren: Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, and Màrius Caus
Veröffentlicht in: 2024 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 2024
Herausgeber: IEEE
DOI: 10.48550/arXiv.2405.08790

An SDN-Based Solution for Mega-Constellation Routing

Autoren: Marius Corici, Hauke Buhr, Hemant.Zope, Manar Zaboub
Veröffentlicht in: PIMRC 2024, 2024
Herausgeber: IEEE

Measuring Service Continuity in Integrated TN/NTN for 5G-Advanced and 6G (öffnet in neuem Fenster)

Autoren: Fanny Parzysz, Alessandro Guidotti, Alessandro Vanelli-Coralli
Veröffentlicht in: EuCNC 2024, 2024, ISSN 2575-4912
Herausgeber: IEEE
DOI: 10.1109/EuCNC/6GSummit60053.2024.10597047

Coherent vs. Non-Coherent Joint Transmission in Cell-Free User-Centric Non-Terrestrial Wireless Networks

Autoren: Carmen D'Andrea, Tommaso Foggi, Amina Piemontese, Alessandro Ugolini, Stefano Buzzi, Giulio Colavolpe
Veröffentlicht in: The 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2024), 2024
Herausgeber: IEEE

Multi-3GPP Connectivity Concept, Architecture and Specific Implementation Details

Autoren: Marius Corici, Eric Troudt, Benjamin Barth, Roshith Sebastian, Christian Scheich, Tomaso De Cola
Veröffentlicht in: 6GNet 2024, 2024
Herausgeber: 6GNet2024

GNSS Independent Random Access Schemes for Beam Hopping Satellite Systems

Autoren: Marius Caus, Xavier Artiga, Musbah Shaat, Alessandro Guidotti
Veröffentlicht in: European Wireless 2024, 2024
Herausgeber: EW 2024

5G-STARDUST: The Potentials of 5G-Advanced from the Sky

Autoren: Tomaso de Cola
Veröffentlicht in: EuCNC 2023, 2023, ISSN 2575-4912
Herausgeber: IEEE

Network Sliced Distributed Learning-as-a-Service for Internet of Vehicles Applications in 6G Non-Terrestrial Network Scenarios (öffnet in neuem Fenster)

Autoren: David Naseh, Swapnil Sadashiv Shinde, Daniele Tarchi
Veröffentlicht in: Journal of Sensor and Actuator Networks, 2024, ISSN 2224-2708
Herausgeber: MDPI
DOI: 10.3390/jsan13010014

Hierarchical Reinforcement Learning for Multi-layer Multi-Service Non-Terrestrial Vehicular Edge Computing (öffnet in neuem Fenster)

Autoren: Swapnil Sadashiv Shinde, Daniele Tarchi
Veröffentlicht in: IEEE Transactions on Machine Learning in Communications and Networking, 2024, ISSN 2831-316X
Herausgeber: IEEE
DOI: 10.1109/TMLCN.2024.3433620

Transforming 5G Mega-Constellation Communications: A Self-Organized Network Architecture Perspective (öffnet in neuem Fenster)

Autoren: Marius Corici, Màrius Caus, Xavier Artiga, Alessandro Guidotti, Benjamin Barth, Tomaso de Cola, Justin Tallon, Hemant Zope, Daniele Tarchi, Fanny Parzysz, David Naseh, Swapnil Sadashiv Shinde
Veröffentlicht in: IEEE Access, Ausgabe 13, 2025, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3530930

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