LLM-based congestion control reduces latency by up to 50% with less than 0.3% throughput sacrifice versus traditional CCAs in static and dynamic network emulations.
PreAct: Prediction enhances agent’s planning ability
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CCA Reimagined: An Exploratory Study of Large Language Models for Congestion Control
LLM-based congestion control reduces latency by up to 50% with less than 0.3% throughput sacrifice versus traditional CCAs in static and dynamic network emulations.