429 citations · 939 across the 56 of their papers we have counts for
62 papers
Performance Analysis of Generalized Product Codes with Irregular Degree Distribution
Sisi Miao, Jonathan Mandelbaum, Lukas Rapp +2
This paper investigates the theoretical analysis of intrinsic message passing decoding for generalized product codes (GPCs) with irregular degree distributions, a generalization of…
A Joint Code and Belief Propagation Decoder Design for Quantum LDPC Codes
Sisi Miao, Jonathan Mandelbaum, Holger Jäkel +1
Quantum low-density parity-check (QLDPC) codes are among the most promising candidates for future quantum error correction schemes. However, a limited number of short to moderate-l…
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…
Geometric Constellation Shaping with Low-complexity Demappers for Wiener Phase-noise Channels
Andrej Rode, Laurent Schmalen
We show that separating the in-phase and quadrature component in optimized, machine-learning based demappers of optical communications systems with geometric constellation shaping…
Neural Belief Propagation Decoding of Quantum LDPC Codes Using Overcomplete Check Matrices
Sisi Miao, Alexander Schnerring, Haizheng Li +1
The recent success in constructing asymptotically good quantum low-density parity-check (QLDPC) codes makes this family of codes a promising candidate for error-correcting schemes…
End-to-end Optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search
Andrej Rode, Benedikt Geiger, Shrinivas Chimmalgi +1
As the demand for higher data throughput in coherent optical communication systems increases, we need to find ways to increase capacity in existing and future optical communication…
Semi-Deterministic Subspace Selection for Sparse Recursive Projection-Aggregation Decoding of Reed-Muller Codes
Johannes Voigt, Holger Jäkel, Laurent Schmalen
Recursive projection aggregation (RPA) decoding as introduced in [1] is a novel decoding algorithm which performs close to the maximum likelihood decoder for short-length Reed-Mull…
Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning
Lukas Rapp, Luca Schmid, Andrej Rode +1
We propose a novel method to optimize the structure of factor graphs for graph-based inference. As an example inference task, we consider symbol detection on linear inter-symbol in…
Spiking Neural Network Decision Feedback Equalization
Eike-Manuel Bansbach, Alexander von Bank, Laurent Schmalen
In the past years, artificial neural networks (ANNs) have become the de-facto standard to solve tasks in communications engineering that are difficult to solve with traditional met…
Blind and Channel-agnostic Equalization Using Adversarial Networks
Vincent Lauinger, Manuel Hoffmann, Jonas Ney +2
Due to the rapid development of autonomous driving, the Internet of Things and streaming services, modern communication systems have to cope with varying channel conditions and a s…
Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal Multiple Access Resource Allocation Using Buffer State Information
Eike-Manuel Bansbach, Yigit Kiyak, Laurent Schmalen
For orthogonal multiple access (OMA) systems, the number of served user equipments (UEs) is limited to the number of available orthogonal resources. On the other hand, non-orthogon…
Improved Soft-aided Decoding of Product Codes with Adaptive Performance-Complexity Trade-off
Sisi Miao, Lukas Rapp, Laurent Schmalen
We propose an improved soft-aided decoding scheme for product codes that approaches the decoding performance of conventional soft-decision TPD with only a 0.2 dB gap while keeping…
Optimization of Geometric Constellation Shaping for Wiener Phase Noise Channels with Varying Channel Parameters
Andrej Rode, Laurent Schmalen
We present a novel method to investigate the effects of varying channel parameters on geometrically shaped constellations for communication systems employing the blind phase search…