Advancing 6G Network Performance: AI/ML Framework for Proactive Management and Dynamic Optimal Routing-Reference-Cited by-同舟云学术

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Advancing 6G Network Performance: AI/ML Framework for Proactive Management and Dynamic Optimal Routing

Published:2024 Issue: Volume:5 Page:303-314
ISSN:2644-1268
Container-title:IEEE Open Journal of the Computer Society
language:
Short-container-title:IEEE Open J. Comput. Soc.

Author:

Tshakwanda Petro Mushidi¹^ORCID,Arzo Sisay Tadesse¹^ORCID,Devetsikiotis Michael¹^ORCID

Affiliation:

1. University of New Mexico, Albuquerque, NM, USA

Funder

National Science Foundation

New Mexico SMART Grid Center - EPSCoR Cooperative

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/8782664/10375894/10522874-aam.pdf

Reference37 articles.

1. Five disruptive technology directions for 5G

2. A Vision of 6G Wireless Systems: Applications, Trends, Technologies, and Open Research Problems

3. Next Generation 5G Wireless Networks: A Comprehensive Survey

4. A perspective on 6G: Requirement, technology, enablers, challenges and future road map

5. LSTM network: a deep learning approach for short‐term traffic forecast

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