Deep Reinforcement Learning for Radio Resource Allocation in NOMA-based Remote State Estimation.
Gaoyang PangWanchun LiuYonghui LiBranka VuceticPublished in: GLOBECOM (2022)
Keyphrases
- resource allocation
- state estimation
- reinforcement learning
- kalman filter
- particle filter
- resource management
- kalman filtering
- dynamic systems
- state space
- state space model
- resource allocation problems
- optimal resource allocation
- visual tracking
- reinforcement learning algorithms
- particle filtering
- allocation problems
- real time
- machine learning
- wireless communication
- markov decision processes
- scarce resources
- model free
- dynamic programming
- multi agent
- allocate resources
- resource allocation decisions
- resource allocation and scheduling
- image segmentation
- dynamic resource allocation
- learning algorithm