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