The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions

The Frontiers of Deep Reinforcement Learning for Resource Management in Future Wireless HetNets: Techniques, Challenges, and Research Directions

<p dir="ltr">Next generation wireless networks are expected to be extremely complex due to their massive heterogeneity in terms of the types of network architectures they incorporate, the types and numbers of smart IoT devices they serve, and the types of emerging applications they s...

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Bibliographic Details
Main Author: Abdulmalik Alwarafy (17984104) (author)
Other Authors: Mohamed Abdallah (3073191) (author), Bekir Sait Ciftler (17541801) (author), Ala Al-Fuqaha (4434340) (author), Mounir Hamdi (14150652) (author)
Published: 2022
Subjects:
Information and computing sciences
Distributed computing and systems software
Wireless communication
Wireless networks
Optimization
Resource management
Quality of service
Next generation networking
Reinforcement learning
Radio resource allocation and management
deep reinforcement learning
HetNets
Power
bandwidth
rate
access control
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