Toward Specialized Wireless Networks Using an ML-Driven Radio Interface

Toward Specialized Wireless Networks Using an ML-Driven Radio Interface

Future wireless networks will need to support diverse applications (such as extended reality), scenarios (such as fully automated industries), and technological advances (such as terahertz communications). Current wireless networks are designed to perform adequately across multiple scenarios so they...

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Bibliographic Details
Main Authors: Kamil Szczech, Maksymilian Wojnar, Katarzyna Kosek-Szott, Krzysztof Rusek, Szymon Szott, Dileepa Marasinghe, Nandana Rajatheva, Richard Combes, Francesc Wilhelmi, Anders Jonsson, Boris Bellalta
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
machine learning
radio interference
reinforcement learning
wireless networks
Online Access:https://ieeexplore.ieee.org/document/11121852/
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https://ieeexplore.ieee.org/document/11121852/

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