End-to-End Optimized Transmission over Dispersive Intensity-Modulated Channels Using Bidirectional Recurrent Neural Networks.
Boris KaranovDomaniç LaveryPolina BayvelLaurent SchmalenPublished in: CoRR (2019)
Keyphrases
- end to end
- recurrent neural networks
- end to end distortion
- scalable video
- rate allocation
- neural network
- multipath
- fading channels
- feed forward
- bit errors
- packet loss rate
- reservoir computing
- echo state networks
- admission control
- ad hoc networks
- artificial neural networks
- congestion control
- wireless ad hoc networks
- packet losses
- data transmission
- high bandwidth
- recurrent networks
- multiple description coding
- error propagation
- rate adaptation
- multi hop