pith:WGFKAZR3
Transformer-Based MCS Prediction for 5G Multicast-Broadcast Services (MBS)
Transformer model forecasts safe MCS for 5G video multicast
arxiv:2605.16735 v1 · 2026-05-16 · cs.NI · cs.LG
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Claims
our approach achieves a reliability score of 86.89%, significantly outperforming standard AI baselines optimized for raw throughput (31.65%) while maintaining a safe conservative bias.
The commercial network dataset with 0.5 ms slot-level granularity is representative of actual MBS deployments and that the custom Asymmetric Safety Loss produces predictions that generalize beyond the training distribution without hidden overfitting to the specific test conditions.
A lightweight Transformer predicts MCS success probabilities for 5G MBS on commercial 0.5 ms slot data using an asymmetric safety loss, reaching 86.89% reliability versus 31.65% for throughput-focused baselines.
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| First computed | 2026-05-20T00:02:39.029654Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b18aa0663b73281e097ae3850957b8fdf67a72f4a199965043dfc253fee4088d
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/WGFKAZR3OMUB4CL24OCQSV5Y7X \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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