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About this paper
Xiyan Su, Jianning Gao, Mahmoud Ashri, Frank Diermeyer
The authors present a method for predicting network quality that uses historical measurements as references and trains an XGBoost model to predict differences from them. They evaluate it on two routes; the second is excluded from model training but supplies reference data. On that route, uplink F1 below 14 Mbps is 0.489 with history versus 0.102 without; adaptations are untested.
Summary by alphaXiv.
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