Ultra-Reliable Deep-Reinforcement-Learning-Based Intelligent Downlink Scheduling for 5G New Radio-Vehicle to Infrastructure Scenarios.
Jizhe WangYuanbing ZhengJian WangZhenghua ShenLei TongYahao JingYu LuoYong LiaoPublished in: Sensors (2023)
Keyphrases
- reinforcement learning
- resource allocation
- scheduling and resource allocation
- learning capabilities
- scheduling problem
- vehicular networks
- high speed
- function approximation
- smarter planet
- reinforcement learning algorithms
- intelligent systems
- markov decision processes
- scheduling algorithm
- vehicle detection
- resource constraints
- real time
- learning algorithm
- state space
- cost effective
- pedestrian detection
- vehicle speed
- real world
- machine learning
- software implementation
- situational awareness
- learning process
- wireless communication
- intelligent control
- response time
- action selection
- model free
- context aware
- optimal policy