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20172026
most citedNovel Massive MIMO Channel Sounding Data Applied to Deep Learning-based Indoor Positioning

42 citations · 75 across the 31 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

cs.IT2017

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…

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.IT2017★ 16 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…