A survey of dynamic spectrum allocation based on reinforcement learning algorithms in cognitive radio networks.
Yonghua WangZifeng YePin WanJiajun ZhaoPublished in: Artif. Intell. Rev. (2019)
Keyphrases
- cognitive radio networks
- channel allocation
- reinforcement learning algorithms
- spectrum sensing
- user centric
- cognitive radio
- reinforcement learning
- model free
- state space
- dynamic environments
- markov decision processes
- reinforcement learning problems
- learning algorithm
- function approximation
- reward function
- resource allocation
- neural network
- reinforcement learning methods
- mobile robot
- cost function
- machine learning