Reinforcement Learning-Aided Distributed User-to-Access Points Association in Interfering Networks.
Thi Ha Ly DinhMegumi KanekoKeisuke WakaoHirantha AbeysekeraYasushi TakatoriPublished in: GLOBECOM (2019)
Keyphrases
- access points
- reinforcement learning
- computer networks
- wireless networks
- wireless networking
- social networks
- multi agent
- distributed environment
- user interaction
- distributed systems
- peer to peer
- real time
- end users
- mobile users
- data sets
- management system
- user preferences
- network structure
- mobile devices
- digital libraries
- mobile nodes
- learning algorithm