Avoiding normalization uncertainties in deep learning architectures for end-to-end communication

Simon Bos, Evgenii Vinogradov, Sofie Pollin

Recently, deep learning is considered to optimize the end-to-end performance of digital communication systems. The promise of learning a digital communication scheme from data is a…