LoRaDRL: Deep Reinforcement Learning Based Adaptive PHY Layer Transmission Parameters Selection for LoRaWAN.
Inaam IlahiMuhammad UsamaMuhammad Omer FarooqMuhammad Umar JanjuaJunaid QadirPublished in: LCN (2020)
Keyphrases
- reinforcement learning
- fine tuning
- sensitivity analysis
- function approximation
- parameter estimation
- multi agent
- expectation maximization
- parameter space
- data transmission
- video communication
- data sets
- multiple layers
- scalable video
- adaptive control
- multi layer
- parameter values
- markov decision processes
- machine learning
- neural network