| AutoMEC: LSTM-based user mobility prediction for service management in distributed MEC resources U Fattore, M Liebsch, B Brik, A Ksentini Proceedings of the 23rd International ACM Conference on Modeling, Analysis …, 2020 | 35 | 2020 |
| UPFlight: An enabler for Avionic MEC in a drone-extended 5G mobile network U Fattore, M Liebsch, CJ Bernardos | 14 | 2020 |
| 5GC+: an Experimental Proof of a Programmable Mobile Core for 5G U Fattore, F Giust, M Liebsch | 13 | 2018 |
| Digital Twins in the Future Networking: A Use Case in IOWN G Solmaz, F Cirillo, U Fattore World Forum IoT 2022, 2022 | 1 | 2022 |
| Resource Management for Cost-Effective Cloud Services A Okic, I Sarrigiannis, U Fattore, B Xiang, AEC Redondi, E Di Nitto, ... Enabling 6G Mobile Networks, 399-435, 2021 | 1 | 2021 |
| 5G AutoMEC–Boosting edge-to-edge service continuity for CAM in a sliced network GM Yilma, U Fattore, M Liebsch, N Slamnik-Kriještorac, A Heider-Aviet, ... IEEE 5G for Connected and Automated Mobility (CAM) Summit, 2021 | 1 | 2021 |
| Control-/Data Plane Aspects for N6 Traffic Steering U Fattore, M Liebsch IETF draft: https://tools.ietf.org/html/draft-fattore-dmm-n6-cpdp …, 2019 | | 2019 |
| Towards a flexible and programmable packet core for next generation mobile networks U Fattore, M Liebsch, F Giust Università degli studi di Napoli “Federico II”, 2018 | | 2018 |
Fabio GiustHewlett Packard EnterpriseVerified email at ieee.org
