LSTM-based QoS prediction for 5G-enabled Connected and Automated Mobility applications.
Sokratis BarmpounakisLina MagoulaNikolaos KoursioumpasRamin KhaliliJose Mauricio PerdomoRamya Panthangi ManjunathPublished in: 5GWF (2021)
Keyphrases
- quality of service
- prediction accuracy
- prediction algorithm
- semi automated
- prediction model
- prediction error
- mobile agents
- fully automated
- web services
- resource utilization
- resource management
- mobile users
- recurrent neural networks
- ad hoc networks
- real time
- mobile networks
- connected components
- peer to peer
- qos requirements
- multimedia communication
- mobile ip