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.
A machine learning approach for snr prediction in 5g systems,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Transformer-Based MCS Prediction for 5G Multicast-Broadcast Services (MBS)
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.