A Channel Selection Algorithm Using Reinforcement Learning for Mobile Devices in Massive IoT System.
Honami FurukawaAohan LiYozo ShojiYoshito WatanabeSong-Ju KimKoya SatoYiannis AndreopoulosMikio HasegawaPublished in: CCNC (2021)
Keyphrases
- selection algorithm
- mobile devices
- reinforcement learning
- mobile computing
- context aware
- prototype selection
- resource selection
- selection scheme
- mobile learning
- reduction method
- mobile phone
- management system
- search algorithm
- feature subset
- function approximation
- state space
- feature subset selection
- cloud computing
- smart phones
- data analysis
- geospatial information
- ubiquitous computing
- big data
- mobile technologies
- smart objects
- mobile applications
- mobile users
- optimal policy
- machine learning
- location based services
- data sets
- location information
- markov decision processes
- evolutionary algorithm
- wireless channels
- learning process
- pattern recognition
- learning algorithm
- neural network