Unraveling the Nexus of ML and 6G: Challenges, Opportunities, and Future Directions

Unraveling the Nexus of ML and 6G: Challenges, Opportunities, and Future Directions

Machine learning (ML) and sixth-generation (6G) wireless networks together present a revolutionary paradigm ready to meet hitherto unheard-of needs in connection, scalability, and intelligence. Including physical-layer signal processing, edge computing, resource optimisation, network slicing, and se...

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Bibliographic Details
Main Authors: Mohammed Anis Oukebdane, A. F. M. Shahen Shah, Abul Kalam Azad, John Ekoru, Milka Madahana
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Machine learning
6G
resource management
quantum machine learning
intelligent networking
Online Access:https://ieeexplore.ieee.org/document/11062617/
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https://ieeexplore.ieee.org/document/11062617/

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