Machine Learning-assisted Node Scheduling in Multi-user Network-coded Relay Networks.
Yuhui SunChao WangPing WangFuqiang LiuPublished in: VTC Fall (2021)
Keyphrases
- multi user
- machine learning
- network nodes
- relay nodes
- network structure
- overlapping communities
- computer networks
- complex networks
- neighboring nodes
- mobile nodes
- augmented reality
- small world networks
- network topologies
- virtual environment
- network parameters
- centrality measures
- network size
- network design
- network model
- network resources
- virtual world
- wireless networks
- criminal networks
- scale free
- community structure
- ad hoc networks
- single user
- degree distribution
- small world
- path length
- user interface
- heterogeneous networks
- multiple users
- node failures
- multi granularity
- cellular networks
- artificial intelligence
- destination node
- collaborative writing
- source node
- link failure
- information diffusion
- real world networks
- scheduling problem
- communication networks
- routing algorithm
- wavelength division multiplexing
- social network analysis
- multiple access
- network traffic
- network coding
- clustering coefficient
- mobile ad hoc networks
- multi hop
- data transmission
- citation networks
- end to end
- virtual reality
- peer to peer
- sensor networks
- residual energy
- optical networks
- three dimensional
- computer vision