Performance Evaluation of Reinforcement Learning Based Distributed Channel Selection Algorithm in Massive IoT Networks.
Daisuke YamamotoHonami FurukawaAohan LiYusuke ItoKoya SatoKoji OshimaSo HasegawaYoshito WatanabeYozo ShojiSong-Ju KimMikio HasegawaPublished in: IEEE Access (2022)
Keyphrases
- selection algorithm
- reinforcement learning
- computer networks
- peer to peer networks
- prototype selection
- multi agent
- cellular networks
- resource selection
- selection scheme
- distributed systems
- reduction method
- feature subset selection
- heterogeneous networks
- social networks
- management system
- network nodes
- wide area network
- function approximation
- distributed environment
- search algorithm
- feature subset
- big data
- network structure
- cloud computing
- peer to peer
- machine learning
- data sets
- markov decision processes
- video coding
- semi supervised
- data analysis