RESOURCES

➡️ 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

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