RESOURCES

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Project leaflet [EN]

This section provides access to scientific publications from conferences and journals published by our project.

➡️ Zaki-Hindi, A., Sottet, J.-S., TURCANU, I., & Faye, S. (2024, November 29). Network Digital Twins for 6G: Defining Data Taxonomy and Data Models. IEEE Conference on Standards for Communications and Networking (IEEE CSCN 2024), Belgrade, Serbia.
https://doi.org/10.5281/zenodo.14244849 

➡️ Goez, D., Aycan-Beyazit, E., Slamnik-Kriještorac, N., Marquez-Barja, J., Gaviria, N., Latré, S., & Camelo, M. (2024). Computational Efficiency of Deep Learning-Based Super Resolution Methods for 5G-NR Channel Estimation. Zenodo.
https://doi.org/10.5281/zenodo.13938897

➡️ Jimenez, J., Gavrielides, A., Slamnik-Kriještorac, N., Latré, S., Marquez-Barja, J., & Camelo, M. (2024). Integrating AI Orchestration and Lifecycle Management in 6G Networks: A Pipeline Approach. Zenodo. 
https://doi.org/10.5281/zenodo.13938810 

➡️ Troch, A., Limani, X., Camelo, M., Gavrielides, A., Chang, C.-Y., Marquez-Barja, J., & Peeters, M. (2024). Optimizing Radio Resource Allocation in 5G using Transport Network-Aware Intelligent RAN. Zenodo.
https://doi.org/10.5281/zenodo.13938569

➡️ Faye, S., Camelo, M., Sottet, J.-S., Sommer, C., Franke, M., Baudouin, J., Castellanos, G., Decorme, R., Fanti, M. P., Fuladi, R., Kesik, G., Mendes, B., Murphy, C., Parker, S., Pryor, S., Senouci, S. M., & Turcanu, I. (2024, July 3). Integrating Network Digital Twinning into Future AI-based 6G Systems: The 6G-TWIN Vision. EuCNC & 6G Summit 2024 (EUCNC), Antwerp, Belgium.
https://doi.org/10.5281/zenodo.12635244

➡️ Turcanu, I., Faye, S., Fellner, H., Castellanos, G., Baudouin, J., Senouci, S. M., Franke, M., & Sommer, C. (2024). Digital Twinning for 6G Teleoperated Driving: The 6G-TWIN Vision. EuCNC & 6G Summit 2024 (EUCNC), Antwerp, Belgium. Zenodo. 

https://doi.org/10.5281/zenodo.12635132

6G-TWIN will generate a total of 21 public deliverables over the course of the three-year project. Once finalized, these deliverables will be made available on this page. We encourage you to stay informed about our research progress by regularly checking our News page and following us on social media.

D6.1 – 6G-TWIN project identity

D1.1 – 6G-TWIN architecture and technical foundations (initial)

D2.1 – Data governance, privacy and harmonization

D7.2 – Data management plan

D1.2 – Secured, scalable and distributed data exposure and collection framework (initial)

D2.2 – Basic models (initial)

D5.1 – Evaluation methodology, planning and coordination

D2.3 – Functional models (initial)

D1.3 – Frameworks for zero-touch service and network management and the orchestration of its AI-based NF and NS (initial)

D4.1 – Setup of the 6G-TWIN demonstrators

D3.1 – Federated simulation framework

D4.2 – Testbed findings and data analytics

D5.2 – Evaluation deployment report

D1.4 – 6G-TWIN architecture and technical foundations (final)

D1.5 – Secured, scalable and distributed data exposure and collection framework (final)

D1.6 – Frameworks for zero-touch service and network management and the orchestration of its AI-based NF and NS (final)

D2.4 – Basic models (final)

D2.5 – Functional models (final)

D3.2 – Federated simulation framework evaluation report

D5.3 – Reengineering solutions

D5.4 – Standardisation

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