Reinforcement Learning-Based Network Slicing Scheme for Optimized UE-QoS in Future Networks.
Weiqi LiuMohammad Arif HossainNirwan AnsariAbbas KianiTony SaboorianPublished in: IEEE Trans. Netw. Serv. Manag. (2024)
Keyphrases
- differentiated services
- reinforcement learning
- quality of service
- network resources
- network structure
- traffic engineering
- complex networks
- heterogeneous wireless networks
- network topologies
- network parameters
- bandwidth allocation
- network model
- network size
- computer networks
- network design
- network conditions
- network coding
- routing scheme
- end to end qos
- end to end
- transport network
- mobile nodes
- community structure
- admission control
- cellular networks
- qos parameters
- path selection
- next generation networks
- heterogeneous networks
- call admission control
- blocking probability
- real world networks
- congestion control
- wireless networks
- web services
- multimedia services
- service differentiation
- social networks
- future internet
- resource management
- network traffic
- ad hoc networks
- resource utilization
- wireless ad hoc networks
- qos requirements
- cross layer
- wireless sensor networks
- peer to peer
- function approximation
- connectionist networks
- learning algorithm
- application level
- packet switching
- response time
- optical networks
- data transmission
- label switching
- end to end delay
- communication networks
- destination node
- video streaming
- information diffusion
- ip networks
- mobile ip
- access points
- network nodes