Papers Network Congestion Control
“Network Congestion Control” 태그가 달린 논문 4편 · 필터 해제
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction
Network traffic prediction techniques have attracted much attention since they are valuable for network congestion control and user experience improvement. While existing prediction techniques can achieve favorable perfo…
Conformal PredictionMeta-LearningNetwork Congestion ControlPrediction+2UX-aware Rate Allocation for Real-Time Media
Immersive communications is a key use case for 6G where applications require reliable latency-bound media traffic at a certain data rate to deliver an acceptable User Experience (UX) or Quality-of-Experience (QoE). The Q…
Network Congestion ControlReinforcement Learning for Datacenter Congestion Control
We approach the task of network congestion control in datacenters using Reinforcement Learning (RL). Successful congestion control algorithms can dramatically improve latency and overall network throughput. Until today, …
Network Congestion Controlreinforcement-learningReinforcement LearningReinforcement Learning (RL)MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions
Effective network congestion control strategies are key to keeping the Internet (or any large computer network) operational. Network congestion control has been dominated by hand-crafted heuristics for decades. Recently,…
Network Congestion ControlOpenAI Gym