A Federated Deep Learning Empowered Resource Management Method to Optimize 5G and 6G Quality of Services (QoS)

A Federated Deep Learning Empowered Resource Management Method to Optimize 5G and 6G Quality of Services (QoS)

The quality of service (QoS) in 5G/6G communication enormously depends upon the mobility and agility of the network architecture. An increase in the possible uses of 5G vehicular network simultaneously expands the scope of the network's quality of service (QoS). To this end, a safety-critical r...

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Bibliographic Details
Main Authors: Abualsauod, E.H (Author), Alsulami, H. (Author), Jalali, A. (Author), Othman, A.M (Author), Rizwan, A. (Author), Serbaya, S.H (Author)
Format: Article
Language:English
Published: Hindawi Limited 2022
Subjects:
5G mobile communication systems
Computation methods
Deep learning
Interactive computer systems
Management method
Mathematical method
Natural resources management
Network architecture
Network quality of services
Nonconvexity
Optimisations
Quality of service
Quality-of-service
Real - Time system
Real time systems
Reinforcement learning
Resource allocation
Resource management
Safety engineering
Vehicular networks
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