Estimation of 5G End-to-End Delay through Deep Learning based on Gaussian Mixture Models.
Diyar FadhilRodolfo OliveiraPublished in: CSCN (2023)
Keyphrases
- gaussian mixture model
- deep learning
- end to end delay
- mixture model
- unsupervised learning
- maximum likelihood criterion
- em algorithm
- expectation maximization
- ad hoc networks
- routing protocol
- feature vectors
- machine learning
- multi hop
- routing algorithm
- weakly supervised
- maximum likelihood
- power consumption
- packet loss
- mental models
- quality of service
- feature space
- neural network
- pattern recognition
- network resources
- ip networks
- computer vision
- wireless mesh networks