Multi-agent Q-learning based cell breathing considering SBS collaboration for maximizing energy efficiency in B5G heterogeneous networks.
Howon LeeEunjin KimHyungsub KimJeehyeon NaHyun-Ho ChoiPublished in: ICT Express (2022)
Keyphrases
- heterogeneous networks
- energy efficiency
- multi agent
- power consumption
- energy consumption
- wireless sensor networks
- data center
- reinforcement learning
- cooperative
- sensor networks
- energy efficient
- routing protocol
- smart home
- intelligent agents
- response time
- multiple types
- multi agent systems
- heterogeneous information networks
- link prediction
- sensor nodes
- social networks
- communication networks
- contextual information
- machine learning
- routing algorithm
- data management
- training data