A distributed DRL-based MAC protocol lets local access points learn transmission patterns from a broadcast contention signal, achieving higher in-time alarm delivery probabilities than random access with gains increasing to 21% at 60 subnetworks.
Federated multi-agent drl for radio resource management in industrial 6g in-x subnetworks,
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Distributed Online Learning for Time-Critical Communication in 6G Industrial Subnetworks
A distributed DRL-based MAC protocol lets local access points learn transmission patterns from a broadcast contention signal, achieving higher in-time alarm delivery probabilities than random access with gains increasing to 21% at 60 subnetworks.