Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks

The problem of multiclass scheduling in a dynamic wireless setting is considered here, where the available limited bandwidth resources are allocated to handle random service demand arrivals, belonging to different classes in terms of payload data request, delay tolerance, and importance/priority. In...

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Bibliographic Details
Main Authors: Apostolos Avranas, Philippe Ciblat, Marios Kountouris
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Machine Learning in Communications and Networking
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10250919/
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