A Lightweight Machine Learning Assisted Power Optimization for Minimum Error in NOMA-CRS over Nakagami-m channels.
Ferdi KaraHakan KayaHalim YanikomerogluPublished in: CoRR (2021)
Keyphrases
- lightweight
- minimum error
- machine learning
- fading channels
- machine learning algorithms
- power consumption
- pattern recognition
- decision trees
- active learning
- wireless sensor networks
- minimax probability machine
- bayes optimal
- development environments
- hyperplane
- learning algorithm
- dos attacks
- discriminant function
- model selection
- feature selection
- communication infrastructure