Realtime mobile bandwidth prediction using LSTM neural network and Bayesian fusion.
Lifan MeiRunchen HuHouwei CaoYong LiuZifan HanFeng LiJin LiPublished in: Comput. Networks (2020)
Keyphrases
- neural network
- prediction model
- recurrent neural networks
- low bandwidth
- real time
- prediction accuracy
- mobile phone
- elman network
- prediction error
- information fusion
- artificial neural networks
- streaming video
- sensor fusion
- multi layer perceptron
- mobile computing
- mobile devices
- multi sensor
- neural network model
- maximum likelihood
- chaotic time series
- context aware
- fusion method
- data fusion
- mobile users
- network architecture
- back propagation
- wireless link
- mobile networks
- neural network is trained
- neural network ensemble
- fermentation process
- bayesian networks
- high bandwidth
- prediction algorithm
- predictive model
- probabilistic model
- remote sensing
- mobile learning
- regression model