887 citations · 1.4k across the 37 of their papers we have counts for
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Iterative Detection and Decoding of Finite-Length Polar Codes in Gaussian Multiple Access Channels
Moustafa Ebada, Sebastian Cammerer, Ahmed Elkelesh +2
We consider the usage of finite-length polar codes for the Gaussian multiple access channel (GMAC) with a finite number of users. Based on the interleave-division multipleaccess (I…
Automorphism Ensemble Decoding of Reed-Muller Codes
Marvin Geiselhart, Ahmed Elkelesh, Moustafa Ebada +2
Reed-Muller (RM) codes are known for their good maximum likelihood (ML) performance in the short block-length regime. Despite being one of the oldest classes of channel codes, find…
Deep-learning Autoencoder for Coherent and Nonlinear Optical Communication
Tim Uhlemann, Sebastian Cammerer, Alexander Span +2
Motivated by the recent success of end-to-end training of communications in the wireless domain, we strive to adapt the end-to-end-learning idea from the wireless case (i.e., linea…
WGAN-based Autoencoder Training Over-the-air
Sebastian Dörner, Marcus Henninger, Sebastian Cammerer +1
The practical realization of end-to-end training of communication systems is fundamentally limited by its accessibility of the channel gradient. To overcome this major burden, the…
CRC-Aided Belief Propagation List Decoding of Polar Codes
Marvin Geiselhart, Ahmed Elkelesh, Moustafa Ebada +2
Although iterative decoding of polar codes has recently made huge progress based on the idea of permuted factor graphs, it still suffers from a non-negligible performance degradati…