Scalable Reinforcement Learning-Based Environment-Aware Scheduler for Enhancing Reliability and Availability in 6G Networks

The sixth generation (6G) of wireless networks must ensure high reliability, availability, and fairness, even in dynamic and challenging environments. Environmental-aware knowledge, such as that obtained from Radio Environment Maps (REMs), offers predictive insights into channel conditions and can g...

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Bibliografiske detaljer

Principais autores:	Roya Khanzadeh, Fjolla Ademaj-Berisha, Bernhard Etzlinger, Hans-Peter Bernhard, Andreas Springer
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2026-01-01
Serier:	IEEE Transactions on Machine Learning in Communications and Networking
Fag:	Scheduling reliability availability fairness trustworthiness scalable deep reinforcement learning
Online adgang:	https://ieeexplore.ieee.org/document/11602100/
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