A Complex Network and Evolutionary Game Theory Framework for 6G Function Placement-Reference-Cited by-同舟云学术

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A Complex Network and Evolutionary Game Theory Framework for 6G Function Placement

Published:2024 Issue: Volume:5 Page:2926-2941
ISSN:2644-125X
Container-title:IEEE Open Journal of the Communications Society
language:
Short-container-title:IEEE Open J. Commun. Soc.

Author:

Scatá Marialisa¹^ORCID,La Corte Aurelio²^ORCID,Marotta Andrea³^ORCID,Graziosi Fabio³^ORCID,Cassioli Dajana³^ORCID

Affiliation:

1. Department of Electrical, Electronics and Computer Engineering (DIEEI), Università Degli Studi di Catania, Catania, Italy

2. Information Systems and Digital Transformation, Ministry of Enterprises and Made in Italy, Rome, Italy

3. Department of Information Engineering, Computer Science and Mathematics, University of L’Aquila, L’Aquila, Italy

Funder

European Union - NextGenerationEU through the Italian Ministry of University and Research (MUR) National Innovation Ecosystem

Project “Servify” through the Italian Ministry of University and Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8782661/10362961/10508576.pdf?arnumber=10508576

Reference82 articles.

1. Machine learning empowered computer networks

2. Federated learning using game strategies: State-of-the-art and future trends

3. Digital Twin for 6G: Taxonomy, Research Challenges, and the Road Ahead

4. AI-Native Network Slicing for 6G Networks

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