AUTO: Adaptive Congestion Control Based on Multi-Objective Reinforcement Learning for the Satellite-Ground Integrated Network.
Xu LiFeilong TangJiacheng LiuLaurence T. YangLuoyi FuLong ChenPublished in: USENIX Annual Technical Conference (2021)
Keyphrases
- congestion control
- multi objective
- end to end
- reinforcement learning
- transmission rate
- congestion avoidance
- window size
- packet loss
- network bandwidth
- rate control
- quality of service
- evolutionary algorithm
- network congestion
- network traffic
- peer to peer
- wireless link
- node failures
- high quality
- genetic algorithm
- high resolution
- differentiated services