Convolutional neural receivers such as DeepRx outperform minimum mean-square error physical uplink shared channel detection on in distribution channel and waveform configurations, but their behavior under calibration drift when transmitter or channel parameters depart from the training envelope is poorly characterized.

翻译：诸如DeepRx等卷积神经网络接收器在分布内信道和波形配置下的物理上行共享信道检测中优于最小均方误差算法，但当发射机或信道参数偏离训练范围时，其在校准漂移情况下的行为尚未得到充分表征。