Deep Reinforcement Learning for Scheduling Uplink IoT Traffic with Strict Deadlines.
Benoît-Marie RobagliaApostolos DestounisMarceau CoupechouxDimitrios TsilimantosPublished in: GLOBECOM (2021)
Keyphrases
- reinforcement learning
- packet scheduling
- power saving
- scheduling algorithm
- scheduling and resource allocation
- response time
- flow control
- traffic load
- quality of service
- resource utilization
- function approximation
- management system
- wireless networks
- resource allocation
- wireless channels
- scheduling problem
- real time
- state space
- network traffic
- power consumption
- markov decision processes
- timing constraints
- traffic flow
- end to end
- application layer
- admission control
- priority scheduling
- multi agent
- real time database systems
- machine learning
- differentiated services
- optimal policy
- dynamic programming
- travel time
- wireless communication