Web: http://arxiv.org/abs/2209.07277

Sept. 16, 2022, 1:12 a.m. | Vincent Lauinger, Manuel Hoffmann, Jonas Ney, Norbert Wehn, Laurent Schmalen

cs.LG updates on arXiv.org arxiv.org

Due to the rapid development of autonomous driving, the Internet of Things
and streaming services, modern communication systems have to cope with varying
channel conditions and a steadily rising number of users and devices. This, and
the still rising bandwidth demands, can only be met by intelligent network
automation, which requires highly flexible and blind transceiver algorithms. To
tackle those challenges, we propose a novel adaptive equalization scheme, which
exploits the prosperous advances in deep learning by training an equalizer …

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