Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective
Authors/Creators
- Filippou, Miltiadis1
- Lamprousi, Vasiliki2
- Mohammadi, Jafar3
- Merluzzi, Mattia4
- Ustundag Soykan, Elif5
- Borsos, Tamas6
- Rajatheva, Nandana7
- Rajapaksha, Nuwanthika7
- Le Magoarou, Luc8
- Piscione, Pietro9
- Benczur, Andras10
- Lampin, Quentin11
- Larue, Guillaume11
- Korpi, Dani12
- Ducange, Pietro13
- Renda, Alessandro13
- Farhadi, Hamed14
- Haraldson, Johan14
- Gomes Baltar, Leonardo1
- Calvanese Strinati, Emilio4
- Demestichas, Panagiotis2
- Tomur, Emrah5
- 1. Intel Next Generation & Standards, 85579 Neubiberg, Germany
- 2. WINGS ICT Solutions, Greece
- 3. Nokia Bell Labs, Stuttgart, Germany
- 4. CEA-Leti, Université Grenoble Alpes, F-38000 Grenoble, France
- 5. Ericsson Research, Turkey
- 6. Ericsson Research, Hungary
- 7. 6G Flagship, University of Oulu, Finland
- 8. b<>com, 35510 Cesson-Sévigné, France
- 9. Nextworks, Pisa, Italy
- 10. Insitute for Computer Science and Control (SZTAKI), Hungary
- 11. Orange, France
- 12. Nokia Bell Labs, Espoo, Finland
- 13. Department of Information Engineering, University of Pisa
- 14. Ericsson Research, Stockholm, Sweden
Description
The European 6G flagship project Hexa-X has the objective to conduct exploratory research on the next generation of mobile networks with the intention to connect human, physical and digital worlds with a fabric of technology enablers. Within this scope, one of the main research challenges is the ambition for beyond 5G (B5G)/6G systems to support, enhance and enable real-time trustworthy control by transforming Artificial Intelligence (AI) / Machine Learning (ML) technologies into a vital and trusted tool for large-scale deployment of interconnected intelligence available to the wider society. Hence, the study and development of concepts and solutions enabling AI-driven communication and computation co-design for a B5G /6G communication system is required. This paper focuses on describing the possibilities that emerge with the application of AI & ML mechanisms (with emphasis on ML) to 6G networks, identifying the resulting challenges and proposing some potential solution approaches.
Notes
Files
paper_05.pdf
Files
(421.3 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:02bbf13355ceb06b81dbd74e39f528b6
|
421.3 kB | Preview Download |