The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G-Reference-Cited by-同舟云学术

The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G

Published:2023 Issue: Volume:11 Page:65620-65648
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Merluzzi Mattia¹^ORCID,Borsos Tamás²,Rajatheva Nandana³^ORCID,Benczúr András A.⁴^ORCID,Farhadi Hamed⁵^ORCID,Yassine Taha⁶^ORCID,Müeck Markus Dominik⁷^ORCID,Barmpounakis Sokratis⁸,Strinati Emilio Calvanese¹^ORCID,Dampahalage Dilin³^ORCID,Demestichas Panagiotis⁸,Ducange Pietro⁹^ORCID,Filippou Miltiadis C.⁷^ORCID,Baltar Leonardo Gomes⁷,Haraldson Johan⁵,Karaçay Leyli¹⁰^ORCID,Korpi Dani¹¹^ORCID,Lamprousi Vasiliki⁸,Marcelloni Francesco⁹^ORCID,Mohammadi Jafar¹²,Rajapaksha Nuwanthika³^ORCID,Renda Alessandro⁹^ORCID,Uusitalo Mikko A.¹¹^ORCID

Affiliation:

1. CEA, Leti, University of Grenoble Alpes, Grenoble, France

2. Ericsson Research, Budapest, Hungary

3. Centre for Wireless Communications, University of Oulu, Oulu, Finland

4. ELKH Institute for Computer Science and Control, Budapest, Hungary

5. Ericsson Research, Stockholm, Sweden

6. Institute of Research & Technology (b<>com), Cesson-Sévigné, France

7. Intel Deutschland GmbH, Munich, Germany

8. WINGS ICT Solutions, Athens, Greece

9. Department of Information Engineering, University of Pisa, Pisa, Italy

10. Ericsson Research, Istanbul, Turkey

11. Nokia Bell Laboratories, Espoo, Finland

12. Nokia Bell Laboratories, Stuttgart, Germany

Funder

European Commission through the H2020 Project Hexa-X

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10156818.pdf?arnumber=10156818

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