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.
Immediately decrease cwnd by a noticeable fraction of its current size to lower RTT and stabilize throughput
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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.