Machine learning based scheme for contention window size adaptation in LTE-LAA.
Zoraze AliLorenza GiupponiJosep Mangues-BafalluyBiljana BojovicPublished in: PIMRC (2017)
Keyphrases
- window size
- machine learning
- sliding window
- window sizes
- fixed size
- learning algorithm
- pattern recognition
- covariate shift
- association analysis
- machine learning algorithms
- computer vision
- feature selection
- search range
- knowledge acquisition
- congestion control
- decision trees
- data mining
- artificial intelligence
- learning systems
- explanation based learning
- computer science
- active learning
- model selection
- text mining
- blocking probability
- network congestion
- supervised learning
- information extraction