Published December 11, 2023
| Version v1
Project deliverable
Open
D5.3 Final integration for AI-based E2E Network Slicing control and MANO
Authors/Creators
- Kazmierowski, Alexandre1
- Sear, Lewis1
- Matencio Escolar, Antonio2
- Salva-Garcia, Pablo2
- Sanchez Navarro, Ignacio2
- Khadmaoui-Bichouna, Mohamed2
- Gama-Garcia, Angel2
- Alelek, Mohammad2
- Andrade-Hoz, Jimena2
- Alcaraz Calero, Jose M.2
- Wang, Qi2
- Chen, Chieh-Chun3
- Khoa Le, Ta Dang3
- Duarte, Paulo
- Fonseca, Joao4
- Mendes, Bruno4
- Araújoa, Marco4
- Cosmas, John5
- Kwaku Boakye, Prince5
- Ali, Kareem5
- Migeul, John5
-
1.
Thales (France)
-
2.
University of the West of Scotland
-
3.
EURECOM
- 4. Capdigital
-
5.
Brunel University of London
Description
This deliverable presents the final enabling technologies and integrated system achieving smart end-to-end (E2E) Network Slicing. It presents the final version of the prototyped subsystems covering RAN and backhaul/backbone Network Slice control, E2E Network Slice management and orchestration, multi-agent reinforcement learning platform and algorithms. It also presents the system integration among the various subsystems, with empirical testing, validation and evaluation results.
Files
D5.3 Final integration for AI-based E2E network slicing control and MANO_V1.pdf
Files
(15.0 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:776827344d08ccd434ba9891aa12c531
|
15.0 MB | Preview Download |