Reinforcement Learning-Based Radio Resource Control in 5G Vehicular Network.
Yibo ZhouFengxiao TangYuichi KawamotoNei KatoPublished in: IEEE Wirel. Commun. Lett. (2020)
Keyphrases
- reinforcement learning
- control problems
- heterogeneous networks
- optimal control
- peer to peer
- resource allocation
- control strategy
- learning algorithm
- control system
- network resources
- network model
- wireless communication
- resource management
- cognitive radio
- function approximation
- neural network
- computer networks
- traffic flow
- network management
- model free
- network traffic
- data acquisition
- markov decision processes
- robot control
- control policy
- data gathering
- traffic light
- multi agent
- distributed control
- switched networks