most citedScaling Deep Learning-based Decoding of Polar Codes via Partitioning

16 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.IT20191 cited

Achievable Rate Region for Iterative Multi-User Detection via Low-cost Gaussian Approximation

Xiaojie Wang, Chulong Liang, Li Ping +1

We establish a multi-user extrinsic information transfer (EXIT) chart area theorem for the interleave-division multiple-access (IDMA) scheme, a special form of superposition coding…

cs.IT2017

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…

cs.IT2017

On Time-Bandwidth Product of Multi-Soliton Pulses

Alexander Span, Vahid Aref, Henning Buelow +1

Multi-soliton pulses are potential candidates for fiber optical transmission where the information is modulated and recovered in the so-called nonlinear Fourier domain. While this…

cs.IT2017

Low Complexity Beamforming Training Method for mmWave Communications

Felix Fellhauer, Nabil Loghin, Dana Ciochina +2

This paper introduces a low complexity method for antenna sector selection in mmWave Hybrid MIMO communication systems like the IEEE 802.11ay amendment for Wireless LANs. The metho…

cs.IT201716 cited

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…