FeDRL-D2D: Federated Deep Reinforcement Learning- Empowered Resource Allocation Scheme for Energy Efficiency Maximization in D2D-Assisted 6G Networks.
Hafiz Muhammad Fahad NomanKaharudin DimyatiKamarul Ariffin NoordinEffariza HanafiAtef AbdrabouPublished in: IEEE Access (2024)
Keyphrases
- allocation scheme
- energy efficiency
- reinforcement learning
- energy consumption
- power consumption
- wireless sensor networks
- energy efficient
- data center
- bandwidth allocation
- sensor networks
- energy aware
- power management
- energy saving
- packet delivery
- power saving
- evaluation method
- energy management
- traffic load
- network resources
- multi agent
- machine learning
- data sets
- sensor nodes
- database systems
- artificial intelligence