2024
DOI: 10.1109/access.2024.3434619
|View full text |Cite
|
Sign up to set email alerts
|

FeDRL-D2D: Federated Deep Reinforcement Learning- Empowered Resource Allocation Scheme for Energy Efficiency Maximization in D2D-Assisted 6G Networks

Hafiz Muhammad Fahad Noman,
Kaharudin Dimyati,
Kamarul Ariffin Noordin
et al.
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 54 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?