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Neural Network-Based Bandit: A Medium Access Control for the IIoT Alarm Scenario

Efficient Random Access (RA) is critical for enabling reliable communication in Industrial Internet of Things (IIoT) networks. Herein, we propose a deep reinforcement learning-based distributed RA scheme, entitled Neural Network-Based Bandit (NNBB), for the IIoT alarm scenario. In such a scenario, d...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Prasoon Raghuwanshi, Onel Luis Alcaraz Lopez, Neelesh B. Mehta, Hirley Alves, Matti Latva-Aho
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2024-01-01
Schriftenreihe:IEEE Open Journal of the Communications Society
Schlagworte:
Alarm scenario
deep reinforcement learning
Industrial Internet of Things
multi-armed bandit
neural network-based bandit
random access
Online-Zugang:https://ieeexplore.ieee.org/document/10767384/
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