Deep Reinforcement Learning for Multi-Agent Power Control in Heterogeneous Networks.
Lin ZhangYing-Chang LiangPublished in: IEEE Trans. Wirel. Commun. (2021)
Keyphrases
- heterogeneous networks
- reinforcement learning
- power control
- multi agent
- resource management
- energy efficient
- power consumption
- wireless mesh networks
- multi hop
- wireless networks
- intelligent agents
- cognitive radio
- power management
- state space
- multiple types
- multi agent systems
- wireless sensor networks
- communication networks
- link prediction
- resource allocation
- social networks
- supervised learning
- management system
- heterogeneous information networks
- machine learning
- learning algorithm
- data transmission
- data streams
- mobile ad hoc networks
- wifi
- energy consumption
- sensor networks