Evaluating TCP Throughput Predictability from Packet Traces using Recurrent Neural Network.
Ryu KazamaHirotake AbeChunghan LeePublished in: ISCC (2022)
Keyphrases
- recurrent neural networks
- network congestion
- congestion control
- packet loss
- mac layer
- packet loss rate
- end to end
- wireless link
- feed forward
- neural network
- ip traffic
- complex valued
- network simulator
- cross layer
- packet size
- reservoir computing
- echo state networks
- buffer size
- higher throughput
- channel capacity
- network bandwidth
- flow control
- recurrent networks
- neural model
- nonlinear dynamic systems
- hidden layer
- loss probability
- artificial neural networks
- long short term memory
- response time
- routing protocol
- ip networks
- artificial intelligence
- network resources
- video streaming
- packet delay
- link utilization
- network layer
- blocking probability
- internet traffic
- genetic algorithm
- neural network structure
- rate adaptation
- internet protocol
- application layer
- mobile ad hoc networks
- ad hoc networks
- quality of service
- active queue management