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Risk forecasting for LEO satellites shows conditional guarantees, struggles with low budgets

A reproduction study of the BG-CFQS method for risk-controlled throughput forecasting in LEO satellite links revealed significant limitations. The study found that the method's risk guarantee is conditional on the calibration split, performing poorly on contiguous temporal splits relevant to deployed terminals. Furthermore, BG-CFQS struggles to serve risk budgets below 0.15, consistently overshooting the target. While online calibration showed improvements, group-conditional recalibration did not yield benefits and sometimes worsened performance. AI

IMPACT This research highlights limitations in current risk forecasting methods for LEO satellite links, potentially impacting network reliability and admission control strategies.

RANK_REASON The cluster contains an academic paper detailing empirical findings on an existing method.

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Risk forecasting for LEO satellites shows conditional guarantees, struggles with low budgets

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COVERAGE [2]

  1. arXiv cs.AI TIER_1 English(EN) · Mayan Sharma, Kriti Saini, Devansh Behl, Suganya R, S. Vijayaragavan ·

    When Does Risk-Controlled Throughput Forecasting Actually Control Risk? A Reproduction Study on LEO Satellite Link

    arXiv:2611.06307v1 Announce Type: cross Abstract: Risk-budgeted throughput forecasting converts a point forecast of LEO satellite capacity into a conservative bound whose overestimation rate is held at a user-specified budget, so that admission control can act on it safely. We re…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    When Does Risk-Controlled Throughput Forecasting Actually Control Risk? A Reproduction Study on LEO Satellite Link

    Risk-budgeted throughput forecasting converts a point forecast of LEO satellite capacity into a conservative bound whose overestimation rate is held at a user-specified budget, so that admission control can act on it safely. We reproduce the state of the art, BG-CFQS, on the thre…