Enhanced-SETL: A multi-variable deep reinforcement learning approach for contention window optimization in dense Wi-Fi networks.
Yi-Hao TuEn-Cheng LinChih-Heng KeYi-Wei MaPublished in: Comput. Networks (2024)
Keyphrases
- wifi
- reinforcement learning
- cellular networks
- access points
- optimization problems
- wireless networks
- mobile devices
- smart phones
- social networks
- end to end
- real time
- wireless communication
- user interface
- multimedia
- mobile phone
- network architecture
- location information
- mobile networks
- artificial intelligence
- machine learning