Moteur de recherche d’entreprises européennes
Financement de l’UE (4 997 025 €) : Intelligence réseau pour les réseaux mobiles aDAptive et sElf-Learning Hor 17/12/2020 Programme de recherche et d'innovation de l'UE « Horizon »
Texte
Intelligence réseau pour les réseaux mobiles aDAptive et sElf-Learning
The success of Beyond 5G (B5G) systems will largely depend on the quality of the Network Intelligence (NI) that will fully automate network management. Artificial Intelligence (AI) models are commonly regarded as the cornerstone for NI design; indeed, AI models have proven extremely successful at solving hard problems that require inferring complex relationships from entangled and massive (e.g., traffic) data. However, AI is not the best solution for every NI task; and, when it is, the dominating trend of plugging ‘vanilla’ AI into network controllers and orchestrators is not a sensible choice. Departing from the current hype around AI, DAEMON will set forth a pragmatic approach to NI design. The project will carry out a systematic analysis of which NI tasks are appropriately solved with AI models, providing a solid set of guidelines for the use of machine learning in network functions. For those problems where AI is a suitable tool, DAEMON will design tailored AI models that respond to the specific needs of network functions, taking advantage of the most recent advances in machine learning. Building on these models, DAEMON will design an end-to-end NI-native architecture for B5G that fully coordinates NI-assisted functionalities. The advances to NI devised by DAEMON will be applied in practical network settings to: (i) deliver extremely high performance while making an efficient use of the underlying radio and computational resources; (ii) reduce the energy footprint of mobile networks; and (iii) provide extremely high reliability beyond that of 5G systems. To achieve this, DAEMON will design practical algorithms for eight concrete NI-assisted functionalities, carefully selected to achieve the objectives above. The performance of the DAEMON algorithms will be evaluated in real-world conditions via four experimental sites, and at scale with data-driven approaches based on two nationwide traffic measurement datasets, against nine ambitious yet feasible KPI targets.
| Fundacion Imdea Networks | 694 375 € |
| Fundacio Privada I2Cat, Internet i Innovacio Digital A Catalunya | 0,00 € |
| Interuniversitair Micro-Electronica Centrum | 500 873 € |
| NEC Laboratories Europe GmbH | 599 605 € |
| Nokia Bell | 575 000 € |
| Organismos Tilepikoinonion TIS Ellados Ote ΑΕ | 145 000 € |
| Software Radio Systems Ltd. | 372 500 € |
| Technische Universiteit Delft | 433 504 € |
| Telefonica Innovacion Digital SL | 474 219 € |
| Universidad Carlos III de Madrid | 262 450 € |
| Universidad de Malaga | 220 000 € |
| Wings ICT Solutions Technologies Pliroforikis Kai Epikoinonion ΑΕ | 355 000 € |
| Zettascale Technology Sàrl | 364 500 € |
https://cordis.europa.eu/project/id/101017109
Cette annonce se réfère à une date antérieure et ne reflète pas nécessairement l’état actuel.