Network Slicing with Centralized and Distributed Reinforcement Learning for Combined Satellite/Ground Networks in a 6G Environment.
Tiago Koketsu RodriguesNei KatoPublished in: IEEE Wirel. Commun. (2022)
Keyphrases
- peer to peer
- computer networks
- mobile sensor
- reinforcement learning
- network nodes
- peer to peer networks
- local area network
- network structure
- network topologies
- distributed network
- distributed environment
- network parameters
- network design
- wide area network
- complex networks
- heterogeneous networks
- network size
- communication cost
- distributed control
- fully distributed
- single point of failure
- peer to peer systems
- network resources
- distributed systems
- sensor networks
- query routing
- remote sites
- high speed networks
- community structure
- real world networks
- network model
- computing environments
- counter propagation
- distributed computing environment
- connectionist networks
- scale free
- multi agent
- communication overhead
- computing platform
- telecommunication networks
- load balancing
- communication networks
- tcp ip
- recurrent networks
- small world
- cellular networks
- information diffusion
- network management
- network analysis
- function approximation
- citation networks
- ad hoc networks
- access points
- remote sensing
- mobile agents
- central site