Accelerating wireless channel autoencoders for short coherence-time communications

Traditional wireless communication theory is based on complex probabilistic models and fixed conjectures, which limit the optimal utilization of spectrum resources. Deep learning has been used to design end-to-end communication systems using an encoder to replace the transmitter and a decoder for th...

Ausführliche Beschreibung