Using Deep-Learning for 5G End-to-End Delay Estimation Based on Gaussian Mixture Models.
Diyar FadhilRodolfo OliveiraPublished in: Inf. (2023)
Keyphrases
- gaussian mixture model
- deep learning
- end to end delay
- mixture model
- unsupervised learning
- maximum likelihood criterion
- expectation maximization
- ad hoc networks
- routing protocol
- em algorithm
- machine learning
- packet loss
- power consumption
- routing algorithm
- mental models
- multi hop
- feature vectors
- weakly supervised
- maximum likelihood
- feature space
- quality of service
- information extraction
- network resources
- video transmission
- computer vision
- wireless networks
- generative model
- probabilistic model
- high resolution
- mobile nodes
- ip networks
- pattern recognition
- feature selection