RECCE: Deep Reinforcement Learning for Joint Routing and Scheduling in Time-Constrained Wireless Networks

RECCE: Deep Reinforcement Learning for Joint Routing and Scheduling in Time-Constrained Wireless Networks

Time Division Multiple Access-based Medium Access Control protocols tend to be the choice for wireless networks that require deterministic delay guarantees, as is the case in many Industrial Internet of Things (IIoT) applications. As the optimal joint scheduling and routing problem for multi-hop wir...

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Bibliographic Details
Main Authors: Shanti Chilukuri, Dirk Pesch
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Routing and scheduling
multihop networks
deep reinforcement learning
time constraints
IIoT
Online Access:https://ieeexplore.ieee.org/document/9546796/

Internet

https://ieeexplore.ieee.org/document/9546796/

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