Deep Reinforcement Learning for Dynamic Network Slicing in IEEE 802.11 Networks.
Sibren De BastRodolfo Torrea DuranAlessandro ChiumentoSofie PollinHaris GacaninPublished in: INFOCOM Workshops (2019)
Keyphrases
- dynamic networks
- network structure
- reinforcement learning
- complex networks
- computer networks
- network size
- network topologies
- network parameters
- network model
- community structure
- network design
- scale free
- network analysis
- counter propagation
- dynamic routing
- centrality measures
- recurrent networks
- sparsely connected
- social networks
- real world networks
- dynamic environments
- markov decision processes
- transport network
- information networks
- fully connected
- connectionist networks
- high bandwidth
- wireless sensor networks
- access points
- heterogeneous networks
- network resources
- small world
- wireless ad hoc networks
- telecommunication networks
- communication networks
- network nodes
- mobile nodes
- cellular networks
- neural network
- optical networks
- criminal networks
- social network analysis
- end to end
- network traffic
- wireless communication
- mobile networks