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AI for Good-Innovate for Impact

45�5� References

[1] Marco, Giordani., Michele, Polese., Marco, Mezzavilla., Sundeep, Rangan., Michele, Zorzi.
"Toward 6G Networks: Use Cases and Technologies." IEEE Communications Magazine, 58 45 - OMACS
(2020).:55-61. doi: 10.1109/MCOM.001.1900411

[2] A. M. Al-Ghaili et al., " A Review of Metaverse’s Definitions, Architecture, Applications,
Challenges, Issues, Solutions, and Future Trends," in IEEE Access, vol. 10, pp. 125835-
125866, 2022, doi: 10.1109/ACCESS.2022.3225638.
[3] ITU-T Recommendation Y.3172 : Architectural framework for machine learning in future
networks including IMT-2020

[4] ITU-T Recommendation Y.3179 : Architectural framework for machine learning model
serving in future networks including IMT-2020

[5] ITU-T Recommendation Y.3181 : Architectural framework for machine learning sandbox in
future networks including IMT-2020

[6] ITU Journal on Future and Evolving Technologies, Volume 3 (2022), Issue 2, “Network
resource allocation for emergency management based on closed-loop analysis”, https:// doi
.org/ 10 .52953/ HVPI8935

[7] ITU-T FG AN Input document FGAN-I-329-R1 Open AI Cellular (OAIC), OpenRAN Gym &
FlexRIC: Simulated platforms and underlays for Build-a-thon 2024

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