Jakob Hoydis

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 126

Top Venues

CoRR

IEEE J. Sel. Areas Commun.

IEEE Trans. Wirel. Commun.

SPAWC

Publications

Pengzhi Huang, Emre Gönültas, Maximilian Arnold, K. Pavan Srinath, Jakob Hoydis, Christoph Studer
Attacking and Defending Deep-Learning-Based Off-Device Wireless Positioning Systems. IEEE Trans. Wirel. Commun. 23 (8) (2024)
K. Pavan Srinath, Jakob Hoydis
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications. IEEE Trans. Wirel. Commun. 22 (6) (2023)
Sebastian Cammerer, Fayçal Aït Aoudia, Jakob Hoydis, Andreas Oeldemann, Andreas Roessler, Timo Mayer, Alexander Keller
A Neural Receiver for 5G NR Multi-user MIMO. CoRR (2023)
K. Pavan Srinath, Jakob Hoydis
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theory. IEEE Trans. Wirel. Commun. 22 (11) (2023)
Sebastian Cammerer, Fayçal Aït Aoudia, Jakob Hoydis, Andreas Oeldemann, Andreas Roessler, Timo Mayer, Alexander Keller
A Neural Receiver for 5G NR Multi-User MIMO. GLOBECOM (Workshops) (2023)
Jakob Hoydis, Fayçal Aït Aoudia, Sebastian Cammerer, Merlin Nimier-David, Nikolaus Binder, Guillermo Marcus, Alexander Keller
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling. CoRR (2023)
Jakob Hoydis, Fayçal Aït Aoudia, Sebastian Cammerer, Florian Euchner, Merlin Nimier-David, Stephan ten Brink, Alexander Keller
Learning Radio Environments by Differentiable Ray Tracing. CoRR (2023)
Jakob Hoydis, Fayçal Ait Aoudia, Sebastian Cammerer, Merlin Nimier-David, Nikolaus Binder, Guillermo Marcus, Alexander Keller
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling. GLOBECOM (Workshops) (2023)
Clement Ruah, Osvaldo Simeone, Jakob Hoydis, Bashir M. Al-Hashimi
Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimates. CoRR (2023)
Pengzhi Huang, Emre Gönültas, Maximilian Arnold, K. Pavan Srinath, Jakob Hoydis, Christoph Studer
Attacking and Defending Deep-Learning-Based Off-Device Wireless Positioning Systems. CoRR (2022)
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Fayçal Ait Aoudia, Jakob Hoydis
Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier. CoRR (2022)
Fayçal Ait Aoudia, Jakob Hoydis
End-to-End Learning for OFDM: From Neural Receivers to Pilotless Communication. IEEE Trans. Wirel. Commun. 21 (2) (2022)
Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani
The Fifth Issue of the Series on Machine Learning in Communications and Networks. IEEE J. Sel. Areas Commun. 40 (8) (2022)
Fayçal Ait Aoudia, Jakob Hoydis
Waveform Learning for Next-Generation Wireless Communication Systems. IEEE Trans. Commun. 70 (6) (2022)
Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller
Deep Learning-Based Synchronization for Uplink NB-IoT. CoRR (2022)
Pavan Koteshwar Srinath, Jakob Hoydis
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theory. CoRR (2022)
Kai Kang, Qiyu Hu, Yunlong Cai, Guanding Yu, Jakob Hoydis, Yonina C. Eldar
Mixed-Timescale Deep-Unfolding for Joint Channel Estimation and Hybrid Beamforming. CoRR (2022)
Jakob Hoydis, Sebastian Cammerer, Fayçal Ait Aoudia, Avinash Vem, Nikolaus Binder, Guillermo Marcus, Alexander Keller
Sionna: An Open-Source Library for Next-Generation Physical Layer Research. CoRR (2022)
Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar Mohamed Hashim Elmirghani
Series Editorial The Fourth Issue of the Series on Machine Learning in Communications and Networks. IEEE J. Sel. Areas Commun. 40 (1) (2022)
Reinhard Wiesmayr, Chris Dick, Jakob Hoydis, Christoph Studer
DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems. CoRR (2022)
Pavan Koteshwar Srinath, Jakob Hoydis
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications. CoRR (2022)
Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller
Deep Learning-Based Synchronization for Uplink NB-IoT. GLOBECOM (2022)
Kai Kang, Qiyu Hu, Yunlong Cai, Guanding Yu, Jakob Hoydis, Yonina C. Eldar
Joint Channel Estimation and Hybrid Beamforming via Deep-Unfolding. EUSIPCO (2022)
Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani
Series Editorial The Sixth Issue of the Series on Machine Learning in Communications and Networks. IEEE J. Sel. Areas Commun. 40 (9) (2022)
Reinhard Wiesmayr, Chris Dick, Jakob Hoydis, Christoph Studer
DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems. IEEECONF (2022)
Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia, Alexander Keller
Graph Neural Networks for Channel Decoding. CoRR (2022)
Qiyu Hu, Yunlong Cai, Kai Kang, Guanding Yu, Jakob Hoydis, Yonina C. Eldar
Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding. IEEE J. Sel. Areas Commun. 40 (1) (2022)
Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia, Alexander Keller
Graph Neural Networks for Channel Decoding. GLOBECOM (Workshops) (2022)
Kai Kang, Qiyu Hu, Yunlong Cai, Guanding Yu, Jakob Hoydis, Yonina C. Eldar
Mixed-Timescale Deep-Unfolding for Joint Channel Estimation and Hybrid Beamforming. IEEE J. Sel. Areas Commun. 40 (9) (2022)
Mateus P. Mota, Alvaro Valcarce, Jean-Marie Gorce, Jakob Hoydis
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning. CoRR (2021)
Mateus P. Mota, Alvaro Valcarce, Jean-Marie Gorce, Jakob Hoydis
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning. GLOBECOM (Workshops) (2021)
Faris B. Mismar, Jakob Hoydis
Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis. CoRR (2021)
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints. CoRR (2021)
Lorenzo Maggi, Alvaro Valcarce, Jakob Hoydis
Bayesian Optimization for Radio Resource Management: Open Loop Power Control. IEEE J. Sel. Areas Commun. 39 (7) (2021)
Brian Rappaport, Emre Gönültas, Jakob Hoydis, Maximilian Arnold, Pavan Koteshwar Srinath, Christoph Studer
Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer. CoRR (2021)
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints. GLOBECOM (Workshops) (2021)
Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani
Series Editorial: Inauguration Issue of the Series on Machine Learning in Communications and Networks. IEEE J. Sel. Areas Commun. 39 (1) (2021)
Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani
Series Editorial: The Third Issue of the Series on Machine Learning in Communications and Networks. IEEE J. Sel. Areas Commun. 39 (8) (2021)
Wenliang Qi, Jiaqi Quan, Jakob Hoydis, Chenhui Ye
SubSRNN: Tailored Neural Network for Channel Estimation with Robustness against Diversities. GLOBECOM (2021)
Brian Rappaport, Emre Gönültas, Jakob Hoydis, Maximilian Arnold, Pavan Koteshwar Srinath, Christoph Studer
Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer. ISWCS (2021)
Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar Mohamed Hashim Elmirghani
Series Editorial: The Second Issue of the Series on Machine Learning in Communications and Networks. IEEE J. Sel. Areas Commun. 39 (7) (2021)
Jakob Hoydis, Fayçal Ait Aoudia, Alvaro Valcarce, Harish Viswanathan
Toward a 6G AI-Native Air Interface. IEEE Commun. Mag. 59 (5) (2021)
Fayçal Ait Aoudia, Jakob Hoydis
End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping. CoRR (2021)
Qiyu Hu, Yunlong Cai, Kai Kang, Guanding Yu, Jakob Hoydis, Yonina C. Eldar
Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding. CoRR (2021)
Van Zhang, Melike Erol-Kantarci, Wen Sun, Yueyue Dai, Jakob Hoydis, Mustafa Cenk Gursoy
Guest Editorial: AI and 6G Convergence: An Energy Efficiency Perspective. IEEE Netw. 35 (6) (2021)
Alvaro Valcarce, Jakob Hoydis
Toward Joint Learning of Optimal MAC Signaling and Wireless Channel Access. IEEE Trans. Cogn. Commun. Netw. 7 (4) (2021)
Fayçal Ait Aoudia, Jakob Hoydis
Waveform Learning for Next-Generation Wireless Communication Systems. CoRR (2021)
Fayçal Ait Aoudia, Jakob Hoydis
Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning. ICC Workshops (2021)
Fayçal Ait Aoudia, Jakob Hoydis
End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping. GLOBECOM (Workshops) (2021)
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems. SPAWC (2021)
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
Learning OFDM Waveforms with PAPR and ACLR Constraints. CoRR (2021)
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
Machine Learning for MU-MIMO Receive Processing in OFDM Systems. IEEE J. Sel. Areas Commun. 39 (8) (2021)
Fayçal Ait Aoudia, Jakob Hoydis
Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning. CoRR (2021)
Faris B. Mismar, Jakob Hoydis
Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis. IEEE Commun. Lett. 25 (10) (2021)
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems. CoRR (2021)
Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming
Exploiting Channel Locality for Adaptive Massive MIMO Signal Detection. ICASSP (2020)
Alvaro Valcarce, Jakob Hoydis
Towards Joint Learning of Optimal Signaling and Wireless Channel Access. CoRR (2020)
Fayçal Ait Aoudia, Jakob Hoydis
End-to-end Learning for OFDM: From Neural Receivers to Pilotless Communication. CoRR (2020)
Jakob Hoydis, Fayçal Ait Aoudia, Alvaro Valcarce, Harish Viswanathan
Towards a 6G AI-Native Air Interface. CoRR (2020)
Sebastian Cammerer, Fayçal Ait Aoudia, Sebastian Dörner, Maximilian Stark, Jakob Hoydis, Stephan ten Brink
Trainable Communication Systems: Concepts and Prototype. IEEE Trans. Commun. 68 (9) (2020)
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis
Deep HyperNetwork-Based MIMO Detection. CoRR (2020)
Morteza Varasteh, Jakob Hoydis, Bruno Clerckx
Learning to Communicate and Energize: Modulation, Coding, and Multiple Access Designs for Wireless Information-Power Transmission. IEEE Trans. Commun. 68 (11) (2020)
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis
Deep HyperNetwork-Based MIMO Detection. SPAWC (2020)
Lorenzo Maggi, Alvaro Valcarce Rial, Jakob Hoydis
Bayesian Optimization for Radio Resource Management: Open Loop Power Control. CoRR (2020)
Fayçal Ait Aoudia, Jakob Hoydis
Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems. GLOBECOM (2020)
Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming
Adaptive Neural Signal Detection for Massive MIMO. IEEE Trans. Wirel. Commun. 19 (8) (2020)
Fayçal Ait Aoudia, Jakob Hoydis
Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems. CoRR (2020)
Luca Sanguinetti, Emil Björnson, Jakob Hoydis
Toward Massive MIMO 2.0: Understanding Spatial Correlation, Interference Suppression, and Pilot Contamination. IEEE Trans. Commun. 68 (1) (2020)
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
Machine Learning for MU-MIMO Receive Processing in OFDM Systems. CoRR (2020)
Fayçal Ait Aoudia, Sebastian Cammerer, Sebastian Dörner, Maximilian Stark, Jakob Hoydis, Stephan ten Brink
Extended Abstract: Deep Learning of the Physical Layer for BICM Systems. SiPS (2020)
Huseyin Birkan Yilmaz, Chan-Byoung Chae, Yansha Deng, Tim O'Shea, Linglong Dai, Namyoon Lee, Jakob Hoydis
Special issue on advances and applications of artificial intelligence and machine learning for wireless communications. J. Commun. Networks 22 (3) (2020)
Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink
Towards Practical FDD Massive MIMO: CSI Extrapolation Driven by Deep Learning and Actual Channel Measurements. ACSSC (2019)
Sebastian Cammerer, Fayçal Ait Aoudia, Sebastian Dörner, Maximilian Stark, Jakob Hoydis, Stephan ten Brink
Trainable Communication Systems: Concepts and Prototype. CoRR (2019)
Emil Björnson, Luca Sanguinetti, Jakob Hoydis
Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency. IEEE Trans. Commun. 67 (2) (2019)
Morteza Varasteh, Jakob Hoydis, Bruno Clerckx
Learning to Communicate and Energize: Modulation, Coding and Multiple Access Designs for Wireless Information-Power Transmission. CoRR (2019)
Luca Sanguinetti, Emil Björnson, Jakob Hoydis
Towards Massive MIMO 2.0: Understanding spatial correlation, interference suppression, and pilot contamination. CoRR (2019)
Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer, Sarah Yan, Jakob Hoydis, Stephan ten Brink
Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction. CoRR (2019)
Fayçal Ait Aoudia, Jakob Hoydis
Towards Hardware Implementation of Neural Network-based Communication Algorithms. SPAWC (2019)
Morteza Varasteh, Jakob Hoydis, Bruno Clerckx
Learning Modulation Design for SWIPT with Nonlinear Energy Harvester: Large and Small Signal Power Regimes. CoRR (2019)
Cyrille Morin, Leonardo S. Cardoso, Jakob Hoydis, Jean-Marie Gorce, Thibaud Vial
Transmitter Classification with Supervised Deep Learning. CrownCom (2019)
Fayçal Ait Aoudia, Jakob Hoydis
Towards Hardware Implementation of Neural Network-based Communication Algorithms. CoRR (2019)
Ori Shental, Jakob Hoydis
"Machine LLRning": Learning to Softly Demodulate. CoRR (2019)
Marco Di Renzo, Mérouane Debbah, Dinh Thuy Phan Huy, Alessio Zappone, Mohamed-Slim Alouini, Chau Yuen, Vincenzo Sciancalepore, George C. Alexandropoulos, Jakob Hoydis, Haris Gacanin, Julien de Rosny, Ahcène Bounceur, Geoffroy Lerosey, Mathias Fink
Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come. EURASIP J. Wirel. Commun. Netw. 2019 (2019)
Shimin Gong, Dinh Thai Hoang, Dusit Niyato, Ahmed El Shafie, Antonio De Domenico, Emilio Calvanese Strinati, Jakob Hoydis
Introduction to the special section on deep reinforcement learning for future wireless communication networks. IEEE Trans. Cogn. Commun. Netw. 5 (4) (2019)
Maximilian Stark, Fayçal Ait Aoudia, Jakob Hoydis
Joint Learning of Geometric and Probabilistic Constellation Shaping. CoRR (2019)
Cyrille Morin, Leonardo S. Cardoso, Jakob Hoydis, Jean-Marie Gorce, Thibaud Vial
Transmitter Classification With Supervised Deep Learning. CoRR (2019)
Marco Di Renzo, Mérouane Debbah, Dinh Thuy Phan Huy, Alessio Zappone, Mohamed-Slim Alouini, Chau Yuen, Vincenzo Sciancalepore, George C. Alexandropoulos, Jakob Hoydis, Haris Gacanin, Julien de Rosny, Ahcène Bounceur, Geoffroy Lerosey, Mathias Fink
Smart Radio Environments Empowered by AI Reconfigurable Meta-Surfaces: An Idea Whose Time Has Come. CoRR (2019)
Morteza Varasteh, Jakob Hoydis, Bruno Clerckx
Learning Modulation Design for SWIPT with Nonlinear Energy Harvester: Large and Small Signal Power Regimes. SPAWC (2019)
Emil Björnson, Luca Sanguinetti, Henk Wymeersch, Jakob Hoydis, Thomas L. Marzetta
Massive MIMO is a reality - What is next?: Five promising research directions for antenna arrays. Digit. Signal Process. 94 (2019)
Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming
Adaptive Neural Signal Detection for Massive MIMO. CoRR (2019)
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis
Deep Reinforcement Learning Autoencoder with Noisy Feedback. WiOpt (2019)
Emil Björnson, Luca Sanguinetti, Henk Wymeersch, Jakob Hoydis, Thomas L. Marzetta
Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays. CoRR (2019)
Maximilian Stark, Fayçal Ait Aoudia, Jakob Hoydis
Joint Learning of Geometric and Probabilistic Constellation Shaping. GLOBECOM Workshops (2019)
Ori Shental, Jakob Hoydis
"Machine LLRning": Learning to Softly Demodulate. GLOBECOM Workshops (2019)
Fayçal Ait Aoudia, Jakob Hoydis
Model-Free Training of End-to-End Communication Systems. IEEE J. Sel. Areas Commun. 37 (11) (2019)
Fayçal Ait Aoudia, Jakob Hoydis
Model-free Training of End-to-end Communication Systems. CoRR (2018)
Alexander Felix, Sebastian Cammerer, Sebastian Dörner, Jakob Hoydis, Stephan ten Brink
OFDM-Autoencoder for End-to-End Learning of Communications Systems. SPAWC (2018)
Fayçal Ait Aoudia, Jakob Hoydis
End-to-End Learning of Communications Systems Without a Channel Model. ACSSC (2018)
Alexander Felix, Sebastian Cammerer, Sebastian Dörner, Jakob Hoydis, Stephan ten Brink
OFDM-Autoencoder for End-to-End Learning of Communications Systems. CoRR (2018)
Emil Björnson, Luca Sanguinetti, Jakob Hoydis
Can Hardware Distortion Correlation be Neglected when Analyzing Uplink SE in Massive MIMO? SPAWC (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jakob Hoydis