Decoder-only transformers trained on tokenized RF spectrum data from 22 TB of measurements achieve 3.25 dB RMSE in spectrum activity forecasting across 33 bands.
Trimmed sample means for robust uniform mean estimation and regression
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Minimax squared l2 error for robust mean estimation under star-shaped sets with heavy-tailed noise and contamination level ε is max(δ*², ε σ²) ∧ d², where δ* is the largest scale satisfying N δ²/σ² ≤ log M^loc(δ, c).
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Large Spectrum Models (LSMs): Decoder-Only Transformer-Powered Spectrum Activity Forecasting via Tokenized RF Data
Decoder-only transformers trained on tokenized RF spectrum data from 22 TB of measurements achieve 3.25 dB RMSE in spectrum activity forecasting across 33 bands.
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Robust mean estimation under star-shaped constraints with heavy-tailed noise
Minimax squared l2 error for robust mean estimation under star-shaped sets with heavy-tailed noise and contamination level ε is max(δ*², ε σ²) ∧ d², where δ* is the largest scale satisfying N δ²/σ² ≤ log M^loc(δ, c).