887 citations · 1.4k across the 37 of their papers we have counts for
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Sparse Graphs for Belief Propagation Decoding of Polar Codes
Sebastian Cammerer, Moustafa Ebada, Ahmed Elkelesh +1
We describe a novel approach to interpret a polar code as a low-density parity-check (LDPC)-like code with an underlying sparse decoding graph. This sparse graph is based on the en…
Mitigating Clipping Effects on Error Floors under Belief Propagation Decoding of Polar Codes
Ahmed Elkelesh, Sebastian Cammerer, Moustafa Ebada +1
In this work, we show that polar belief propagation (BP) decoding exhibits an error floor behavior which is caused by clipping of the log-likelihood ratios (LLR). The error floor b…
Deep Learning-Based Communication Over the Air
Sebastian Dörner, Sebastian Cammerer, Jakob Hoydis +1
End-to-end learning of communications systems is a fascinating novel concept that has so far only been validated by simulations for block-based transmissions. It allows learning of…
Scattered EXIT Charts for Finite Length LDPC Code Design
Moustafa Ebada, Ahmed Elkelesh, Sebastian Cammerer +1
We introduce the Scattered Extrinsic Information Transfer (S-EXIT) chart as a tool for optimizing degree profiles of short length Low-Density Parity-Check (LDPC) codes under iterat…
Wave-like Decoding of Tail-biting Spatially Coupled LDPC Codes Through Iterative Demapping
Sebastian Cammerer, Laurent Schmalen, Vahid Aref +1
For finite coupling lengths, terminated spatially coupled low-density parity-check (SC-LDPC) codes show a non-negligible rate-loss. In this paper, we investigate if this rate loss…
Scaling Deep Learning-based Decoding of Polar Codes via Partitioning
Sebastian Cammerer, Tobias Gruber, Jakob Hoydis +1
The training complexity of deep learning-based channel decoders scales exponentially with the codebook size and therefore with the number of information bits. Thus, neural network…
On Deep Learning-Based Channel Decoding
Tobias Gruber, Sebastian Cammerer, Jakob Hoydis +1
We revisit the idea of using deep neural networks for one-shot decoding of random and structured codes, such as polar codes. Although it is possible to achieve maximum a posteriori…