Blind and Channel-agnostic Equalization Using Adversarial Networks

@article{Lauinger2022BlindAC,
  title={Blind and Channel-agnostic Equalization Using Adversarial Networks},
  author={Vincent Lauinger and Michael J. Hoffmann and Jonas Ney and Norbert Wehn and Laurent Schmalen},
  journal={GLOBECOM 2022 - 2022 IEEE Global Communications Conference},
  year={2022},
  pages={585-590}
}
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… 
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