Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic.
Fabio SaggeseLuca PasqualiniMarco MorettiAndrea AbrardoPublished in: GLOBECOM (2021)
Keyphrases
- data analysis
- data management
- reinforcement learning
- data warehouse
- network traffic
- scheduling problem
- function approximation
- database management systems
- data integration
- scientific data
- database
- traffic flow
- databases
- database systems
- data warehousing
- traffic management
- state space
- machine learning
- mobile computing
- road traffic
- traffic congestion
- traffic conditions
- heterogeneous data
- traffic engineering
- optimal policy
- query processing
- learning algorithm
- internet traffic
- traffic control
- robotic control
- reinforcement learning algorithms
- road network
- markov decision processes
- dynamic programming
- real time
- network resources
- deep learning
- action space
- transportation networks
- temporal difference
- action selection
- traffic light
- learning problems
- database engine