Using Deep Reinforcement Learning for mmWave Real-Time Scheduling

We study the problem of real-time scheduling in a multi-hop millimeter-wave (mmWave) mesh. We develop a model-free deep reinforcement learning algorithm called Adaptive Activator RL (AARL), which determines the subset of mmWave links that should be activated during each time slot and the power level...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Gahtan, Barak, Cohen, Reuven, Bronstein, Alex M, Kedar, Gil
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Computer Science - Networking and Internet Architecture
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!