Christian Häger

101 papers B 11Misc 2Journal 59Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Integrated Radio Sensing Capabilities for 6G Networks: AI/ML Perspective. IEEE Commun. Surv. Tutorials Victor Shatov, Steffen Schieler, Charlotte Muth, José Miguel Mateos-Ramos, Ivo Bizon, Florian Euchner, Sebastian Semper, Stephan ten Brink, Gerhard P. Fettweis, Christian Häger, Henk Wymeersch, Laurent Schmalen, Reiner S. Thomä, Norman Franchi
2026	J	`jnl`	PIDT: Physics-Informed Digital Twin for Optical Fiber Parameter Estimation. CoRR Zicong Jiang, Magnus Karlsson, Erik Agrell, Christian Häger
2025	—	`conf`	End-to-End Learning for RIS Profile Design and Channel Parameter Estimation under Pixel Failures. VTC2025-Spring Mehmet Cagri Ilter, Musa Furkan Keskin, José Miguel Mateos-Ramos, Christian Häger, Mikko Valkama, Henk Wymeersch
2025	J	`jnl`	Inverse Modeling of Dielectric Response in Time Domain using Physics-Informed Neural Networks. CoRR Emir Esenov, Olof Hjortstam, Yuriy Serdyuk, Thomas Hammarström, Christian Häger
2025	J	`jnl`	Large Wireless Localization Model (LWLM): A Foundation Model for Positioning in 6G Networks. CoRR Guangjin Pan, Kaixuan Huang, Hui Chen, Shunqing Zhang, Christian Häger, Henk Wymeersch
2025	J	`jnl`	Model-Based End-to-End Learning for Multi-Target Integrated Sensing and Communication Under Hardware Impairments. IEEE Trans. Wirel. Commun. José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch
2025	—	`conf`	Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays. ICC Baptiste Chatelier, José Miguel Mateos-Ramos, Vincent Corlay, Christian Häger, Matthieu Crussière, Henk Wymeersch, Luc Le Magoarou
2025	J	`jnl`	Rate-Limited Closed-Loop Distributed ISAC Systems: An Autoencoder Approach. CoRR Guangjin Pan, Zhixing Li, Ayça Özçelikkale, Christian Häger, Musa Furkan Keskin, Henk Wymeersch
2025	J	`jnl`	Semantic Communication for Rate-Limited Closed-Loop Distributed Communication-Sensing-Control Systems. CoRR Guangjin Pan, Ayça Özçelikkale, Christian Häger, Musa Furkan Keskin, Henk Wymeersch
2025	Misc	`conf`	Unsupervised Learning for Gain-Phase Impairment Calibration in ISAC Systems. ICASSP José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch
2024	B	`conf`	Belief Propagation Decoding of Quantum LDPC Codes with Guided Decimation. ISIT Hanwen Yao, Waleed Abu Laban, Christian Häger, Alexandre Graell i Amat, Henry D. Pfister
2024	B	`conf`	Decoding Quantum LDPC Codes Using Graph Neural Networks. GLOBECOM Vukan Ninkovic, Ognjen Kundacina, Dejan Vukobratovic, Christian Häger, Alexandre Graell i Amat
2024	J	`jnl`	Decoding Quantum LDPC Codes Using Graph Neural Networks. CoRR Vukan Ninkovic, Ognjen Kundacina, Dejan Vukobratovic, Christian Häger, Alexandre Graell i Amat
2024	J	`jnl`	Deep-Learning-Based Channel Estimation for Distributed MIMO with 1-bit Radio-Over-Fiber Fronthaul. CoRR Alireza Bordbar, Lise Aabel, Christian Häger, Christian Fager, Giuseppe Durisi
2024	—	`conf`	Learning to Extract Distributed Polarization Sensing Data from Noisy Jones Matrices. OFC Mohammad Farsi, Christian Häger, Magnus Karlsson, Erik Agrell
2024	J	`jnl`	Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays. CoRR Baptiste Chatelier, José Miguel Mateos-Ramos, Vincent Corlay, Christian Häger, Matthieu Crussière, Henk Wymeersch, Luc Le Magoarou
2024	—	`conf`	Real-Time Implementation of Machine-Learning DSP. OFC Erik Börjeson, Keren Liu, Christian Häger, Per Larsson-Edefors
2023	J	`jnl`	Belief Propagation Decoding of Quantum LDPC Codes with Guided Decimation. CoRR Hanwen Yao, Waleed Abu Laban, Christian Häger, Alexandre Graell i Amat, Henry D. Pfister
2023	—	`conf`	Deep-Learning-Based Channel Estimation for Distributed MIMO with 1-bit Radio-Over-Fiber Fronthaul. ISWCS Alireza Bordbar, Lise Aabel, Christian Häger, Christian Fager, Giuseppe Durisi
2023	—	`conf`	FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training. OFC Keren Liu, Erik Börjeson, Christian Häger, Per Larsson-Edefors
2023	—	`conf`	Model-Driven End-to-End Learning for Integrated Sensing and Communication. ICC José Miguel Mateos-Ramos, Christian Häger, Musa Furkan Keskin, Luc Le Magoarou, Henk Wymeersch
2023	—	`conf`	Rateless Autoencoder Codes: Trading off Decoding Delay and Reliability. ICC Vukan Ninkovic, Dejan Vukobratovic, Christian Häger, Henk Wymeersch, Alexandre Graell i Amat
2023	J	`jnl`	Rateless Autoencoder Codes: Trading off Decoding Delay and Reliability. CoRR Vukan Ninkovic, Dejan Vukobratovic, Christian Häger, Henk Wymeersch, Alexandre Graell i Amat
2023	J	`jnl`	Spatial Signal Design for Positioning via End-to-End Learning. IEEE Wirel. Commun. Lett. Steven Rivetti, José Miguel Mateos-Ramos, Yibo Wu, Jinxiang Song, Musa Furkan Keskin, Vijaya Yajnanarayana, Christian Häger, Henk Wymeersch
2022	J	`jnl`	Benchmarking and Interpreting End-to-End Learning of MIMO and Multi-User Communication. IEEE Trans. Wirel. Commun. Jinxiang Song, Christian Häger, Jochen Schröder, Timothy J. O'Shea, Erik Agrell, Henk Wymeersch
2022	J	`jnl`	Benchmarking and Interpreting End-to-end Learning of MIMO and Multi-User Communication. CoRR Jinxiang Song, Christian Häger, Jochen Schröder, Timothy J. O'Shea, Erik Agrell, Henk Wymeersch
2022	J	`jnl`	Data-Driven Estimation of Capacity Upper Bounds. IEEE Commun. Lett. Christian Häger, Erik Agrell
2022	J	`jnl`	Data-Driven Upper Bounds on Channel Capacity. CoRR Christian Häger, Erik Agrell
2022	—	`conf`	End-to-End Learning for Integrated Sensing and Communication. ICC José Miguel Mateos-Ramos, Jinxiang Song, Yibo Wu, Christian Häger, Musa Furkan Keskin, Vijaya Yajnanarayana, Henk Wymeersch
2022	J	`jnl`	End-to-End Learning for VCSEL-based Optical Interconnects: State-of-the-Art, Challenges, and Opportunities. CoRR Muralikrishnan Srinivasan, Jinxiang Song, Alexander Grabowski, Krzysztof Szczerba, Holger K. Iversen, Mikkel N. Schmidt, Darko Zibar, Jochen Schröder, Anders Larsson, Christian Häger, Henk Wymeersch
2022	—	`conf`	Experimental Demonstration of Learned Pulse Shaping Filter for Superchannels. OFC Zonglong He, Jinxiang Song, Christian Häger, Alexandre Graell i Amat, Henk Wymeersch, Peter A. Andrekson, Magnus Karlsson, Jochen Schröder
2022	J	`jnl`	FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training. CoRR Keren Liu, Erik Börjeson, Christian Häger, Per Larsson-Edefors
2022	—	`conf`	Symbol-Based Over-the-Air Digital Predistortion Using Reinforcement Learning. ICC Yibo Wu, Jinxiang Song, Christian Häger, Ulf Gustavsson, Alexandre Graell i Amat, Henk Wymeersch
2021	J	`jnl`	Autoencoder-Based Unequal Error Protection Codes. CoRR Vukan Ninkovic, Dejan Vukobratovic, Christian Häger, Henk Wymeersch, Alexandre Graell i Amat
2021	J	`jnl`	Autoencoder-Based Unequal Error Protection Codes. IEEE Commun. Lett. Vukan Ninkovic, Dejan Vukobratovic, Christian Häger, Henk Wymeersch, Alexandre Graell i Amat
2021	—	`conf`	End-to-end Autoencoder for Superchannel Transceivers with Hardware Impairment. OFC Jinxiang Song, Christian Häger, Jochen Schröder, Alexandre Graell i Amat, Henk Wymeersch
2021	Misc	`conf`	Learned Decimation for Neural Belief Propagation Decoders : Invited Paper. ICASSP Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
2021	—	`conf`	Over-the-fiber Digital Predistortion Using Reinforcement Learning. ECOC Jinxiang Song, Zonglong He, Christian Häger, Magnus Karlsson, Alexandre Graell i Amat, Henk Wymeersch, Jochen Schröder
2021	J	`jnl`	Physics-Based Deep Learning for Fiber-Optic Communication Systems. IEEE J. Sel. Areas Commun. Christian Häger, Henry D. Pfister
2021	J	`jnl`	Pruning and Quantizing Neural Belief Propagation Decoders. IEEE J. Sel. Areas Commun. Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
2021	—	`conf`	Symbol-Based Supervised Learning Predistortion for Compensating Transmitter Nonlinearity. ECOC Zonglong He, Jinxiang Song, Christian Häger, Kovendhan Vijayan, Peter A. Andrekson, Magnus Karlsson, Alexandre Graell i Amat, Henk Wymeersch, Jochen Schröder
2020	B	`conf`	Benchmarking End-to-end Learning of MIMO Physical-Layer Communication. GLOBECOM Jinxiang Song, Christian Häger, Jochen Schröder, Tim O'Shea, Henk Wymeersch
2020	B	`conf`	Decoding Reed-Muller Codes Using Redundant Code Constraints. ISIT Mengke Lian, Christian Häger, Henry D. Pfister
2020	—	`conf`	End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information. OFC Kadir Gümüs, Alex Alvarado, Bin Chen, Christian Häger, Erik Agrell
2020	J	`jnl`	Learned Decimation for Neural Belief Propagation Decoders. CoRR Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
2020	J	`jnl`	Learning Physical-Layer Communication With Quantized Feedback. IEEE Trans. Commun. Jinxiang Song, Bile Peng, Christian Häger, Henk Wymeersch, Anant Sahai
2020	—	`conf`	Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation. OFC Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado
2020	J	`jnl`	Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation. CoRR Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado
2020	J	`jnl`	Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation. CoRR Rick M. Bütler, Christian Häger, Henry D. Pfister, Gabriele Liga, Alex Alvarado
2020	J	`jnl`	Physics-Based Deep Learning for Fiber-Optic Communication Systems. CoRR Christian Häger, Henry D. Pfister
2020	B	`conf`	Pruning Neural Belief Propagation Decoders. ISIT Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
2020	J	`jnl`	Pruning Neural Belief Propagation Decoders. CoRR Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
2020	J	`jnl`	Pruning and Quantizing Neural Belief Propagation Decoders. CoRR Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat
2019	J	`jnl`	End-to-End Learning of Geometrical Shaping Maximizing Generalized Mutual Information. CoRR Kadir Gümüs, Alex Alvarado, Bin Chen, Christian Häger, Erik Agrell
2019	B	`conf`	Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation. ISIT Mengke Lian, Fabrizio Carpi, Christian Häger, Henry D. Pfister
2019	J	`jnl`	Learned Belief-Propagation Decoding with Simple Scaling and SNR Adaptation. CoRR Mengke Lian, Fabrizio Carpi, Christian Häger, Henry D. Pfister
2019	J	`jnl`	Learning Physical-Layer Communication with Quantized Feedback. CoRR Jinxiang Song, Bile Peng, Christian Häger, Henk Wymeersch, Anant Sahai
2019	—	`conf`	Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding. Allerton Fabrizio Carpi, Christian Häger, Marco Martalò, Riccardo Raheli, Henry D. Pfister
2019	J	`jnl`	Reinforcement Learning for Channel Coding: Learned Bit-Flipping Decoding. CoRR Fabrizio Carpi, Christian Häger, Marco Martalò, Riccardo Raheli, Henry D. Pfister
2019	J	`jnl`	Revisiting Multi-Step Nonlinearity Compensation with Machine Learning. CoRR Christian Häger, Henry D. Pfister, Rick M. Bütler, Gabriele Liga, Alex Alvarado
2019	J	`jnl`	What Can Machine Learning Teach Us about Communications? CoRR Mengke Lian, Christian Häger, Henry D. Pfister
2018	—	`conf`	ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters. ECOC Christoffer Fougstedt, Christian Häger, Lars J. Svensson, Henry D. Pfister, Per Larsson-Edefors
2018	J	`jnl`	ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters. CoRR Christoffer Fougstedt, Christian Häger, Lars J. Svensson, Henry D. Pfister, Per Larsson-Edefors
2018	—	`conf`	Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning. ECOC Shen Li, Christian Häger, Nil Garcia, Henk Wymeersch
2018	J	`jnl`	Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning. CoRR Shen Li, Christian Häger, Nil Garcia, Henk Wymeersch
2018	J	`jnl`	Approaching Miscorrection-Free Performance of Product Codes With Anchor Decoding. IEEE Trans. Commun. Christian Häger, Henry D. Pfister
2018	B	`conf`	Decoding Reed-Muller Codes Using Minimum- Weight Parity Checks. ISIT Elia Santi, Christian Häger, Henry D. Pfister
2018	J	`jnl`	Decoding Reed-Muller Codes Using Minimum-Weight Parity Checks. CoRR Elia Santi, Christian Häger, Henry D. Pfister
2018	B	`conf`	Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications. ISIT Christian Häger, Henry D. Pfister
2018	J	`jnl`	Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications. CoRR Christian Häger, Henry D. Pfister
2018	—	`conf`	Nonlinear Interference Mitigation via Deep Neural Networks. OFC Christian Häger, Henry D. Pfister
2018	—	`conf`	On Low-Complexity Decoding of Product Codes for High-Throughput Fiber-Optic Systems. ISTC Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva, Christian Häger, Henry D. Pfister
2018	J	`jnl`	On Low-Complexity Decoding of Product Codes for High-Throughput Fiber-Optic Systems. CoRR Alireza Sheikh, Alexandre Graell i Amat, Gianluigi Liva, Christian Häger, Henry D. Pfister
2018	B	`conf`	What Can Machine Learning Teach Us about Communications? ITW Mengke Lian, Christian Häger, Henry D. Pfister
2018	—	`conf`	Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning. ECOC Christian Häger, Henry D. Pfister
2018	J	`jnl`	Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning. CoRR Christian Häger, Henry D. Pfister
2017	J	`jnl`	Approaching Miscorrection-free Performance of Product and Generalized Product Codes. CoRR Christian Häger, Henry D. Pfister
2017	J	`jnl`	Density Evolution for Deterministic Generalized Product Codes on the Binary Erasure Channel at High Rates. IEEE Trans. Inf. Theory Christian Häger, Henry D. Pfister, Alexandre Graell i Amat, Fredrik Brannstrom
2017	—	`conf`	Miscorrection-free Decoding of Staircase Codes. ECOC Christian Häger, Henry D. Pfister
2017	J	`jnl`	Miscorrection-free Decoding of Staircase Codes. CoRR Christian Häger, Henry D. Pfister
2017	J	`jnl`	Nonlinear Interference Mitigation via Deep Neural Networks. CoRR Christian Häger, Henry D. Pfister
2016	—	`—`	Analysis and Design of Spatially-Coupled Codes with Application to Fiber-Optical Communications. Christian Häger
2016	J	`jnl`	Density Evolution for Deterministic Generalized Product Codes with Higher-Order Modulation. CoRR Christian Häger, Alexandre Graell i Amat, Henry D. Pfister, Fredrik Brännström
2016	—	`conf`	Density evolution and error floor analysis for staircase and braided codes. OFC Christian Häger, Henry D. Pfister, Alexandre Graell i Amat, Fredrik Brannstrom
2016	—	`conf`	Density evolution for deterministic generalized product codes with higher-order modulation. ISTC Christian Häger, Alexandre Graell i Amat, Henry D. Pfister, Fredrik Brannstrom
2016	B	`conf`	Deterministic and ensemble-based spatially-coupled product codes. ISIT Christian Häger, Henry D. Pfister, Alexandre Graell i Amat, Fredrik Brannstrom
2016	J	`jnl`	On the Information Loss of the Max-Log Approximation in BICM Systems. IEEE Trans. Inf. Theory Mikhail Ivanov, Christian Häger, Fredrik Brannstrom, Alexandre Graell i Amat, Alex Alvarado, Erik Agrell
2015	J	`jnl`	Density Evolution for Deterministic Generalized Product Codes on the Binary Erasure Channel. CoRR Christian Häger, Henry D. Pfister, Alexandre Graell i Amat, Fredrik Brännström
2015	J	`jnl`	Deterministic and Ensemble-Based Spatially-Coupled Product Codes. CoRR Christian Häger, Henry D. Pfister, Alexandre Graell i Amat, Fredrik Brännström
2015	—	`conf`	On parameter optimization for staircase codes. OFC Christian Häger, Alexandre Graell i Amat, Henry D. Pfister, Alex Alvarado, Fredrik Brannstrom, Erik Agrell
2014	J	`jnl`	A Low-Complexity Detector for Memoryless Polarization-Multiplexed Fiber-Optical Channels. IEEE Commun. Lett. Christian Häger, Lotfollah Beygi, Erik Agrell, Pontus Johannisson, Magnus Karlsson, Alexandre Graell i Amat
2014	—	`conf`	Comparison of terminated and tailbiting spatially coupled LDPC codes with optimized bit mapping for PM-64-QAM. ECOC Christian Häger, Alexandre Graell i Amat, Fredrik Brannstrom, Alex Alvarado, Erik Agrell
2014	J	`jnl`	Improving Soft FEC Performance for Higher-Order Modulations by Bit Mapper Optimization. CoRR Christian Häger, Alexandre Graell i Amat, Fredrik Brännström, Alex Alvarado, Erik Agrell
2014	J	`jnl`	On the Information Loss of the Max-Log Approximation in BICM Systems. CoRR Mikhail Ivanov, Christian Häger, Fredrik Brännström, Alexandre Graell i Amat, Alex Alvarado, Erik Agrell
2014	—	`conf`	Optimized bit mappings for spatially coupled LDPC codes over parallel binary erasure channels. ICC Christian Häger, Alexandre Graell i Amat, Alex Alvarado, Fredrik Brannstrom, Erik Agrell
2014	J	`jnl`	Terminated and Tailbiting Spatially Coupled Codes with Optimized Bit Mappings for Spectrally Efficient Fiber-Optical Systems. CoRR Christian Häger, Alexandre Graell i Amat, Fredrik Brännström, Alex Alvarado, Erik Agrell
2013	J	`jnl`	A Low-Complexity Detector for Memoryless Polarization-Multiplexed Fiber-Optical Channels. CoRR Christian Häger, Lotfollah Beygi, Erik Agrell, Pontus Johannisson, Magnus Karlsson, Alexandre Graell i Amat
2013	J	`jnl`	Design of APSK Constellations for Coherent Optical Channels with Nonlinear Phase Noise. IEEE Trans. Commun. Christian Häger, Alexandre Graell i Amat, Alex Alvarado, Erik Agrell
2013	J	`jnl`	Optimized Bit Mappings for Spatially Coupled LDPC Codes over Parallel Binary Erasure Channels. CoRR Christian Häger, Alexandre Graell i Amat, Alex Alvarado, Fredrik Brännström, Erik Agrell
2012	B	`conf`	Constellation optimization for coherent optical channels distorted by nonlinear phase noise. GLOBECOM Christian Häger, Alexandre Graell i Amat, Alex Alvarado, Erik Agrell
2012	J	`jnl`	Design of APSK Constellations for Coherent Optical Channels with Nonlinear Phase Noise CoRR Christian Häger, Alexandre Graell i Amat, Alex Alvarado, Erik Agrell