Enabling Reinforcement Learning for Network Slice Management in Multi-Agent 5G Networks.
Larisa-Mihaela TufeanuMarius-Constantin VochinConstantin-Laurentiu ParaschivFrank Y. LiPublished in: WF-IoT (2023)
Keyphrases
- reinforcement learning
- multi agent
- network structure
- computer networks
- telecommunications networks
- network management
- complex networks
- network topologies
- network size
- network parameters
- telecommunication networks
- network resources
- network model
- counter propagation
- dynamic networks
- transport network
- network design
- community structure
- small world
- high bandwidth
- cellular networks
- network nodes
- sparsely connected
- reinforcement learning algorithms
- real world networks
- internet traffic
- information networks
- scale free
- information systems
- function approximation
- future internet
- information diffusion
- heterogeneous networks
- multiagent systems
- fully connected
- optical networks
- data management
- network infrastructure
- state space
- learning agents
- recurrent networks
- multi agent environments
- cooperative
- social networks
- community detection
- power law
- leader follower
- machine learning
- wireless sensor networks
- management system
- peer to peer
- social network analysis
- access points
- link prediction
- mobile nodes
- neural network