RESOURCES

Standard presentation [EN]

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

Zaki-Hindi, A., Soto Arenas, P. A., Castellanos, G., Pritom, T. H., Volpe, G., Zellagui, I., Hensel, B., Jimenez, J., Marvulli, M., Santos, L., Sayin, A., Sottet, J.-S., Ali, W., El Korbi, . ines ., TURCANU, I., Belogaev, A., Duarte, A., Kelly, U., Kumar, S., … Faye, S. (2025). A Reference Functional Architecture for Network Digital Twins in 6G Systems.  Zenodo. 
Extended Author’s version (non peer-reviewed):  https://doi.org/10.5281/zenodo.17987724

Zaki-Hindi, A., Sottet, J.-S., Kumar, S., TURCANU, I., & Faye, S. (2025, September 9). A Modular Network Digital Twin for Radio Coverage Prediction: From Theory to Practice. IEEE Global Communications Conference 2025 (IEEE GLOBECOM 2025), Taipei, Taiwan.
Author’s version:  https://doi.org/10.5281/zenodo.17086138

Zellagui, I., Senouci, S. M., El Korbi, . ines ., & HOSSAIN, S. (2025, December 18). Multi-Objective Route Optimization via Dueling DQN for Teleoperated Driving. IEEE Global Communications Conference (IEEE GLOBECOM), Taipei, Taiwan.
Author’s version: 
https://doi.org/10.5281/zenodo.17973360

Sayın, A., Fadaei Fouladi, R., Gulen, U., & babaei, . mohammadreza . (2025, June 19). Secured and Privacy Preserving Data Management System for 6G Network Digital Twin. 
Author’s version:  https://zenodo.org/records/15790274
Final version:  https://doi.org/10.1007/978-3-031-92605-1_37

Aycan Beyazıt, E., Marquez-Barja, J. M., Famaey, J., & Slamnik-Kriještorac, N. (2025). Multi-Stream Transmission in Cell-Free MIMO Networks with Coherent AP Clustering. In IEEE Wireless Communications Letters. Zenodo.
Author’s version: 
https://doi.org/10.5281/zenodo.15772752

Aycan Beyazıt, E., Famaey, J., Beyazıt, M., & Camelo, M. (2025). Multi-Stream Allocation in Semi-Coherent Cell-Free MU-MIMO Systems. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Istanbul, Türkiye. Zenodo.
Author’s version:  https://doi.org/10.5281/zenodo.15772864 

Faye, S., Soto Arenas, P. A., Volpe, G., Zaki-Hindi, A., Hensel, B., Castellanos, G., TURCANU, I., Sommer, C., Senouci, S. M., Belogaev, A., & Camelo, M. (2025, April 29). A Functional Framework for Network Digital Twins. European Conference on Networks and Communications 2025 (EuCNC 2025), Poznan, Poland.
Author’s version: 
https://doi.org/10.5281/zenodo.15304759 

Decorme, R., Faye, S.,Calisti, M., PryorIndrakshi Dey, S.,Pia Fanti, M.,Malandrino, F., Lombardo, C., (2024). Towards sustainable 6G: A collaborative call to action for addressing environmental challenges in (and thanks to) future mobile networks. Open Research Europe.
https://doi.org/10.12688/openreseurope.18767.1

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.
Author’s version:  https://doi.org/10.5281/zenodo.14244849 
Final version:   https://doi.org/10.1109/CSCN63874.2024.10849705 

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.
Author’s version:  https://doi.org/10.5281/zenodo.13938897
Final version:   https://doi.org/10.1109/LATINCOM62985.2024.10770678

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. 
Author’s version:  https://doi.org/10.5281/zenodo.13938810
Final version:   https://doi.org/10.1109/LATINCOM62985.2024.10770687 

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.
Author’s version:  https://doi.org/10.5281/zenodo.13938569
Final version:   https://doi.org/10.1109/LATINCOM62985.2024.10770646

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.
Author’s version:  https://doi.org/10.5281/zenodo.12635244
Final version:   https://doi.org/10.1109/EuCNC/6GSummit60053.2024.10597058

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 are 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.

Published deliverables

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)

Upcoming deliverables

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

Skip to content