Collective reinforcement learning based resource allocation for digital twin service in 6G networks.
Zhongwei HuangDagang LiJun CaiHua LuPublished in: J. Netw. Comput. Appl. (2023)
Keyphrases
- resource allocation
- reinforcement learning
- resource management
- resource sharing
- grid environment
- resource allocation problems
- allocate resources
- resource usage
- network resources
- grid resource
- optimal resource allocation
- scarce resources
- allocation strategies
- allocation problems
- combinatorial auctions
- market equilibrium
- multi agent
- packet scheduling
- service oriented
- resource requirements
- resource availability
- web services
- grid computing environment
- resource allocation decisions
- machine learning
- resource consumption
- markov decision processes
- dynamic resource allocation
- cellular networks
- reinforcement learning algorithms
- model free
- dynamic programming
- learning algorithm