Machine Learning Based Flexible Transmission Time Interval Scheduling for eMBB and uRLLC Coexistence Scenario.
Jingxuan ZhangXiaodong XuKangjie ZhangBufang ZhangXiaofeng TaoPing ZhangPublished in: IEEE Access (2019)
Keyphrases
- machine learning
- scheduling problem
- manufacturing cell
- machine learning algorithms
- reinforcement learning
- pattern recognition
- real world
- natural language processing
- scheduling algorithm
- active learning
- decision trees
- feature selection
- machine learning methods
- resource allocation
- learning algorithm
- knowledge acquisition
- data mining
- text classification
- resource constraints
- interval data
- computational intelligence
- text mining
- knowledge discovery
- knowledge representation
- artificial intelligence
- lightweight
- learning systems
- end to end
- machine learning approaches
- explanation based learning
- round robin
- parallel processors
- flexible manufacturing systems
- information systems
- packet scheduling