429 citations · 939 across the 56 of their papers we have counts for
12 papers · 1 filter
Quaternary Neural Belief Propagation Decoding of Quantum LDPC Codes with Overcomplete Check Matrices
Sisi Miao, Alexander Schnerring, Haizheng Li +1
Quantum low-density parity-check (QLDPC) codes are promising candidates for error correction in quantum computers. One of the major challenges in implementing QLDPC codes in quantu…
A Spatially Coupled LDPC Coding Scheme with Scalable Decoders for Space Division Multiplexing
Haizheng Li, Laurent Schmalen
In this paper, we study the application of spatially coupled LDPC codes with sub-block locality for space division multiplexing. We focus on the information exchange between the su…
Approximate Maximum a Posteriori Carrier Phase Estimator for Wiener Phase Noise Channels using Belief Propagation
Shrinivas Chimmalgi, Andrej Rode, Luca Schmid +1
The blind phase search (BPS) algorithm for carrier phase estimation is known to have sub-optimal performance for probabilistically shaped constellations. We present a belief propag…
Optimized Geometric Constellation Shaping for Wiener Phase Noise Channels with Viterbi-Viterbi Carrier Phase Estimation
Andrej Rode, Wintana Araya Gebrehiwot, Shrinivas Chimmalgi +1
The Viterbi & Viterbi (V&V) algorithm is well understood for QPSK and 16-QAM, but modifications are required for higher-order modulation formats. We present an approach to extend t…
Local Message Passing on Frustrated Systems
Luca Schmid, Joshua Brenk, Laurent Schmalen
Message passing on factor graphs is a powerful framework for probabilistic inference, which finds important applications in various scientific domains. The most wide-spread message…
Bistatic OFDM-based Joint Radar-Communication: Synchronization, Data Communication and Sensing
Lucas Giroto de Oliveira, David Brunner, Axel Diewald +4
This article introduces a bistatic joint radar-communication (RadCom) system based on orthogonal frequency-division multiplexing (OFDM). In this context, the adopted OFDM frame str…
Spiking Neural Network Decision Feedback Equalization for IM/DD Systems
Alexander von Bank, Eike-Manuel Edelmann, Laurent Schmalen
A spiking neural network (SNN) equalizer with a decision feedback structure is applied to an IM/DD link with various parameters. The SNN outperforms linear and artificial neural ne…
Generalized Automorphisms of Channel Codes: Properties, Code Design, and a Decoder
Jonathan Mandelbaum, Holger Jäkel, Laurent Schmalen
Low-density parity-check codes together with belief propagation (BP) decoding are known to be well-performing for large block lengths. However, for short block lengths there is sti…
Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation
Jonas Ney, Vincent Lauinger, Laurent Schmalen +1
In recent years, communication engineers put strong emphasis on artificial neural network (ANN)-based algorithms with the aim of increasing the flexibility and autonomy of the syst…
Blind Channel Equalization Using Vector-Quantized Variational Autoencoders
Jinxiang Song, Vincent Lauinger, Yibo Wu +5
State-of-the-art high-spectral-efficiency communication systems employ high-order modulation formats coupled with high symbol rates to accommodate the ever-growing demand for data…
Autoencoder-based Joint Communication and Sensing of Multiple Targets
Charlotte Muth, Laurent Schmalen
We investigate the potential of autoencoders (AEs) for building a joint communication and sensing (JCAS) system that enables communication with one user while detecting multiple ra…
Improving the Bootstrap of Blind Equalizers with Variational Autoencoders
Vincent Lauinger, Fred Buchali, Laurent Schmalen
We evaluate the start-up of blind equalizers at critical working points, analyze the advantages and obstacles of commonly-used algorithms, and demonstrate how the recently-proposed…