An AI-driven closed-loop system autonomously creates in-kernel eBPF Wi-Fi rate controllers that outperform the Minstrel algorithm by 21% in web-page load time and peak throughput on a 58-node testbed.
InProceed- ings of the 7th ACM International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM)
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IteRate: Autonomous AI Synthesis of In-Kernel eBPF Wi-Fi Rate Control Algorithms
An AI-driven closed-loop system autonomously creates in-kernel eBPF Wi-Fi rate controllers that outperform the Minstrel algorithm by 21% in web-page load time and peak throughput on a 58-node testbed.