i5GAccess: Nash Q-learning Based Multi-Service Edge Users Access in 5G Heterogeneous Networks.
Anqi ZhuSongtao GuoMingfang MaPublished in: IWQoS (2020)
Keyphrases
- heterogeneous networks
- user requests
- typed objects
- internet services
- personalized services
- end users
- user profiles
- heterogeneous social networks
- user interaction
- state space
- social media
- learning algorithm
- communication networks
- multiple types
- recommender systems
- user interface
- reinforcement learning
- smart card
- decision trees
- search engine