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08/16/2023
Quaternary Neural Belief Propagation Decoding of Quantum LDPC Codes with Overcomplete Check Matrices
Quantum low-density parity-check (QLDPC) codes are promising candidates ...
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08/02/2023
A Spatially Coupled LDPC Coding Scheme with Scalable Decoders for Space Division Multiplexing
In this paper, we study the application of spatially coupled LDPC codes ...
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07/07/2023
Approximate Maximum a Posteriori Carrier Phase Estimator for Wiener Phase Noise Channels using Belief Propagation
The blind phase search (BPS) algorithm for carrier phase estimation is k...
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07/03/2023
Optimized Geometric Constellation Shaping for Wiener Phase Noise Channels with Viterbi-Viterbi Carrier Phase Estimation
The Viterbi Viterbi (V V) algorithm is well understood for QPSK an...
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06/02/2023
Local Message Passing on Frustrated Systems
Message passing on factor graphs is a powerful framework for probabilist...
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04/27/2023
Generalized Automorphisms of Channel Codes: Properties, Code Design, and a Decoder
Low-density parity-check codes together with belief propagation (BP) dec...
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04/27/2023
Spiking Neural Network Decision Feedback Equalization for IM/DD Systems
A spiking neural network (SNN) equalizer with a decision feedback struct...
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04/14/2023
Unsupervised ANN-Based Equalizer and Its Trainable FPGA Implementation
In recent years, communication engineers put strong emphasis on artifici...
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01/16/2023
Improving the Bootstrap of Blind Equalizers with Variational Autoencoders
We evaluate the start-up of blind equalizers at critical working points,...
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12/20/2022
Neural Belief Propagation Decoding of Quantum LDPC Codes Using Overcomplete Check Matrices
The recent success in constructing asymptotically good quantum low-densi...
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12/07/2022
End-to-end Optimization of Constellation Shaping for Wiener Phase Noise Channels with a Differentiable Blind Phase Search
As the demand for higher data throughput in coherent optical communicati...
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12/05/2022
Geometric Constellation Shaping with Low-complexity Demappers for Wiener Phase-noise Channels
We show that separating the in-phase and quadrature component in optimiz...
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11/21/2022
Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning
We propose a novel method to optimize the structure of factor graphs for...
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11/09/2022
Spiking Neural Network Decision Feedback Equalization
In the past years, artificial neural networks (ANNs) have become the de-...
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11/02/2022
Semi-Deterministic Subspace Selection for Sparse Recursive Projection-Aggregation Decoding of Reed-Muller Codes
Recursive projection aggregation (RPA) decoding as introduced in [1] is ...
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09/15/2022
Blind and Channel-agnostic Equalization Using Adversarial Networks
Due to the rapid development of autonomous driving, the Internet of Thin...
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08/31/2022
Deep Reinforcement Learning for Uplink Multi-Carrier Non-Orthogonal Multiple Access Resource Allocation Using Buffer State Information
For orthogonal multiple access (OMA) systems, the number of served user ...
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07/11/2022
Improved Soft-aided Decoding of Product Codes with Adaptive Performance-Complexity Trade-off
We propose an improved soft-aided decoding scheme for product codes that...
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06/24/2022
Optimization of Geometric Constellation Shaping for Wiener Phase Noise Channels with Varying Channel Parameters
We present a novel method to investigate the effects of varying channel ...
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04/25/2022
Blind Equalization and Channel Estimation in Coherent Optical Communications Using Variational Autoencoders
We investigate the potential of adaptive blind equalizers based on varia...
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04/12/2022
Distributed Transmission and Spatially Coupled Forward Error Correction in Regenerative Multipoint-to-Point Networks
We investigate the performance of coded modulation for multi-hop regener...
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04/11/2022
Performance Metrics for Communication Systems with Forward Error Correction
We revisit performance metrics for optical communication systems with FE...
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04/01/2022
Improved Soft-aided Decoding of Product Codes with Dynamic Reliability Scores
Products codes (PCs) are conventionally decoded with efficient iterative...
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03/30/2022
Low-complexity Near-optimum Symbol Detection Based on Neural Enhancement of Factor Graphs
We consider the application of the factor graph framework for symbol det...
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03/07/2022
Neural Enhancement of Factor Graph-based Symbol Detection
We study the application of the factor graph framework for symbol detect...
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01/20/2022
Error-and-erasure Decoding of Product and Staircase Codes with Simplified Extrinsic Message Passing
The decoding performance of product codes (PCs) and staircase codes (SCC...
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12/10/2021
Improved Soft-aided Error-and-erasure Decoding of Product Codes with Dynamic Reliability Scores
We propose a novel soft-aided low-complexity decoder for product codes b...
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12/06/2021
Geometric Constellation Shaping for Phase-noise Channels Using a Differentiable Blind Phase Search
We perform geometric constellation shaping with optimized bit labeling u...
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08/27/2021
Deep Reinforcement Learning for Wireless Resource Allocation Using Buffer State Information
As the number of user equipments (UEs) with various data rate and latenc...
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07/13/2021
Low Rate Protograph-Based LDPC Codes for Continuous Variable Quantum Key Distribution
Error correction plays a major role in the reconciliation of continuous ...
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03/09/2021
Error-and-Erasure Decoding of Product and Staircase Codes
High-rate product codes (PCs) and staircase codes (SCs) are ubiquitous c...
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11/27/2020
Pruning and Quantizing Neural Belief Propagation Decoders
We consider near maximum-likelihood (ML) decoding of short linear block ...
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11/04/2020
Learned Decimation for Neural Belief Propagation Decoders
We introduce a two-stage decimation process to improve the performance o...
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05/18/2020
Experimental Investigation of Deep Learning for Digital Signal Processing in Short Reach Optical Fiber Communications
We investigate methods for experimental performance enhancement of auto-...
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05/18/2020
Optical Fiber Communication Systems Based on End-to-End Deep Learning
We investigate end-to-end optimized optical transmission systems based o...
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01/21/2020
Pruning Neural Belief Propagation Decoders
We consider near maximum-likelihood (ML) decoding of short linear block ...
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12/11/2019
Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model
We perform an experimental end-to-end transceiver optimization via deep ...
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10/02/2019
Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing
In this paper, we apply deep learning for communication over dispersive ...
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04/12/2019
Spatially Coupled LDPC Codes with Non-uniform Coupling for Improved Decoding Speed
We consider spatially coupled low-density parity-check codes with finite...
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01/24/2019
End-to-End Optimized Transmission over Dispersive Intensity-Modulated Channels Using Bidirectional Recurrent Neural Networks
We propose an autoencoding sequence-based transceiver for communication ...
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10/02/2018
Avoiding Burst-like Error Patterns in Windowed Decoding of Spatially Coupled LDPC Codes
In this work, we analyze efficient window shift schemes for windowed dec...
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04/11/2018
End-to-end Deep Learning of Optical Fiber Communications
In this paper, we implement an optical fiber communication system as an ...
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04/02/2018
A Compressed Sensing Approach for Distribution Matching
In this work, we formulate the fixed-length distribution matching as a B...
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12/22/2017