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CORDIS - EU research results
CORDIS

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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Preliminary report on the unified air interface, user-centric and beamforming solutions (opens in new window)

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 (opens in new window)

This deliverable gathers the preliminary design specifiaction of the PoC

Preliminary report on AI-data driven networking and QoS management (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

This deliverable gathers the functional architecture of the PoC

Dissemination, Communication Report and Exploitation strategy (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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 (opens in new window)

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

Publications

ML-Based Intelligent O-RAN Control in 6G Integrated Terrestrial and Non-Terrestrial Networks

Author(s): Swapnil Sadashiv Shinde, David Naseh, Daniele Tarchi
Published in: IEEE Globecom 2024, 2024
Publisher: IEEE

Kolmogorov-Arnold Networks (KANs) for Time Series Analysis (opens in new window)

Author(s): Cristian J. Vaca-Rubio, Luis Blanco, Roberto Pereira, and Màrius Caus
Published in: Global Communications Conference (GLOBECOM) Workshop, 2024
Publisher: IEEE
DOI: 10.48550/ARXIV.2405.08790

An SDN-Based Solution for Mega-Constellation Routing

Author(s): Marius Corici, Hauke Buhr, Hemant.Zope, Manar Zaboub
Published in: PIMRC 2024, 2024
Publisher: IEEE

Measuring Service Continuity in Integrated TN/NTN for 5G-Advanced and 6G (opens in new window)

Author(s): Fanny Parzysz, Alessandro Guidotti, Alessandro Vanelli-Coralli
Published in: EuCNC 2024, 2024, ISSN 2575-4912
Publisher: IEEE
DOI: 10.1109/EuCNC/6GSummit60053.2024.10597047

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

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

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

Author(s): Marius Corici, Eric Troudt, Benjamin Barth, Roshith Sebastian, Christian Scheich, Tomaso De Cola
Published in: 6GNet 2024, 2024
Publisher: 6GNet2024

GNSS Independent Random Access Schemes for Beam Hopping Satellite Systems

Author(s): Marius Caus, Xavier Artiga, Musbah Shaat, Alessandro Guidotti
Published in: European Wireless 2024, 2024
Publisher: EW 2024

NTN Architecture for PPDR in 5G-Advanced

Author(s): Benjamin Barth, Roshith Sebastian, Tomaso de Cola, Alessandro Guidotti
Published in: FNFW2024, 2024
Publisher: IEEE

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

Author(s): Tomaso de Cola
Published in: EuCNC 2023, 2023, ISSN 2575-4912
Publisher: IEEE

Network Sliced Distributed Learning-as-a-Service for Internet of Vehicles Applications in 6G Non-Terrestrial Network Scenarios (opens in new window)

Author(s): David Naseh, Swapnil Sadashiv Shinde, Daniele Tarchi
Published in: Journal of Sensor and Actuator Networks, 2024, ISSN 2224-2708
Publisher: MDPI
DOI: 10.3390/jsan13010014

Hierarchical Reinforcement Learning for Multi-layer Multi-Service Non-Terrestrial Vehicular Edge Computing (opens in new window)

Author(s): Swapnil Sadashiv Shinde, Daniele Tarchi
Published in: IEEE Transactions on Machine Learning in Communications and Networking, 2024, ISSN 2831-316X
Publisher: IEEE
DOI: 10.1109/TMLCN.2024.3433620

Transforming 5G Mega-Constellation Communications: A Self-Organized Network Architecture Perspective (opens in new window)

Author(s): 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
Published in: IEEE Access, Issue 13, 2025, ISSN 2169-3536
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
DOI: 10.1109/ACCESS.2025.3530930

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