Reinforcement Learning Based Adaptive Resource Allocation for Wireless Powered Communication Systems.
Jae-Mo KangPublished in: IEEE Commun. Lett. (2020)
Keyphrases
- resource allocation
- communication systems
- reinforcement learning
- communication technologies
- wireless channels
- multiple access
- power allocation
- information processing systems
- resource allocation problems
- blind equalization
- computer systems
- resource management
- wireless networks
- optimal resource allocation
- physical layer
- channel estimation
- learning capabilities
- wireless communication
- allocation problems
- resource usage
- cellular networks
- allocation strategies
- cognitive radio
- decision directed
- machine learning
- dynamic resource allocation
- scarce resources
- resource allocation and scheduling
- resource allocation decisions
- distributed resource allocation
- learning algorithm
- multi agent
- computer simulation