Deep Learning Based Single copyright Communications Over Time-Varying Underwater Acoustic Channel
In recent years, deep learning (DL) techniques have shown great potential in wireless communications.Unlike DL-based receivers for time-invariant or slow time-varying channels, we propose a new DL-based receiver for single copyright communication in time-varying underwater acoustic (UWA) channels.Without the off-line Hemp Wicks training, the propos