Deep Reinforcement Learning-Based Optimization for End-to-End Network Slicing With Control- and User-Plane Separation.
Yunfeng WangLiqiang ZhaoXiaoli ChuShenghui SongYansha DengArumugam NallanathanKai LiangPublished in: IEEE Trans. Veh. Technol. (2022)
Keyphrases
- end to end
- congestion control
- internet protocol
- wireless ad hoc networks
- reinforcement learning
- high bandwidth
- transport protocol
- packet loss rate
- transport layer
- rate adaptation
- differentiated services
- multipath
- ad hoc networks
- admission control
- end to end quality of service
- optimal control
- control policy
- end users
- scalable video
- network structure
- peer to peer
- network management
- network traffic
- real time