pith:UHFUBLEU
PRB-RUPFormer: A Recursive Unified Probabilistic Transformer for Residual PRB Forecasting
A single shared probabilistic Transformer trained across carriers forecasts residual PRBs with median error below 0.05 for one- and seven-day horizons.
arxiv:2605.15363 v1 · 2026-05-14 · cs.LG · eess.SP
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Claims
Evaluations on six months of commercial LTE network data from multiple U.S. locations demonstrate median MAE below 0.05 and hit probabilities above 0.80 for both one-day and seven-day recursive forecasts.
The assumption that a single shared model trained across all carriers and sectors can capture cross-carrier dependencies without site-specific overfitting or loss of local accuracy, as stated in the description of the unified training approach.
PRB-RUPFormer delivers recursive probabilistic forecasts of residual PRBs with median MAE below 0.05 and hit rates above 0.80 using a single shared model across carriers on real LTE data.
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| First computed | 2026-05-20T00:00:54.521846Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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· · · · ·Agent API
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/UHFUBLEU5GUIXVDNV3JDJINZ22 \
| jq -c '.canonical_record' \
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Canonical record JSON
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