Federated Reinforcement Learning-Based Resource Allocation for D2D-Aided Digital Twin Edge Networks in 6G Industrial IoT.
Qi GuoFengxiao TangNei KatoPublished in: IEEE Trans. Ind. Informatics (2023)
Keyphrases
- resource allocation
- reinforcement learning
- resource management
- resource allocation problems
- optimal resource allocation
- function approximation
- allocation problems
- reinforcement learning algorithms
- scarce resources
- allocation strategies
- resource allocation decisions
- management system
- machine learning
- game theory
- digital libraries
- grid environment
- resource consumption
- resource requirements
- distributed resource allocation
- market equilibrium
- social welfare
- resource allocation and scheduling
- cellular networks
- resource usage
- wireless networks
- cloud computing
- dynamic programming
- cooperative
- learning algorithm