Uncertainty-Aware Multi-Task Learning for Joint Modulation Recognition and SINR Estimation
An uncertainty-aware multi-task model that transforms each short normalized in-phase/quadrature window into 36 deterministic, label-free statistics, learns a shared representation, and uses task-specific adapters for modulation classification and heteroscedastic SINR regression is proposed.
Kosar Nourolahi, Vahid Ghasemi
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