Joint Beamforming, Power Allocation, and Splitting Control for SWIPT-Enabled IoT Networks with Deep Reinforcement Learning and Game Theory.
JainShing LiuChun-Hung Richard LinYu-Chen HuPraveen Kumar DontaPublished in: Sensors (2022)
Keyphrases
- game theory
- resource allocation
- reinforcement learning
- power allocation
- game theoretic
- cooperative
- optimal control
- nash equilibrium
- multi agent systems
- mechanism design
- control system
- multi agent learning
- multi agent
- fictitious play
- nash equilibria
- mimo systems
- control method
- state space
- control strategy
- low complexity
- end to end
- multiple input multiple output
- learning algorithm