Mobility aware and energy-efficient federated deep reinforcement learning assisted resource allocation for 5G-RAN slicing.
Yaser AzimiSaleh YousefiHashem KalbkhaniThomas KunzPublished in: Comput. Commun. (2024)
Keyphrases
- resource allocation
- energy efficient
- reinforcement learning
- mobility management
- wireless sensor networks
- energy consumption
- sensor networks
- resource management
- resource allocation problems
- base station
- optimal resource allocation
- state space
- digital libraries
- optimal policy
- multi hop
- energy efficiency
- data dissemination
- mobile agents
- multi agent
- scarce resources
- mobile networks
- learning algorithm
- allocation problems
- allocation strategies
- routing protocol
- combinatorial auctions
- mobile users
- distributed systems
- sensor nodes
- resource allocation and scheduling
- cluster head
- transfer learning
- load balancing
- sensor data
- data sources
- database systems