Digital-Twin-Assisted Resource Allocation for Network Slicing in Industry 4.0 and Beyond Using Distributed Deep Reinforcement Learning.
Lun TangYucong DuQinghai LiuJinyu LiShirui LiQianbin ChenPublished in: IEEE Internet Things J. (2023)
Keyphrases
- resource allocation
- optimal resource allocation
- reinforcement learning
- peer to peer
- resource sharing
- resource management
- resource allocation problems
- computer networks
- distributed resource allocation
- multi agent
- resource allocation and scheduling
- distributed environment
- data transfer
- allocation problems
- flow network
- computing platform
- allocation strategies
- markov decision processes
- cloud computing environment
- resource allocation decisions
- distributed systems
- load balance
- social welfare
- allocate resources
- grid environment
- dynamic resource allocation
- learning process
- cooperative
- learning algorithm
- communication networks
- bidding strategies
- scarce resources
- multi source