Jakob Hoydis

174 papers B 17Misc 7Journal 117Unranked 33
YearRankTypeTitle / Venue / Authors
2025 J jnl
SALAD: Self-Adaptive Link Adaptation.
CoRR
Reinhard Wiesmayr, Lorenzo Maggi, Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia, Alexander Keller
2025 J jnl
Sionna RT: Technical Report.
CoRR
Fayçal Aït Aoudia, Jakob Hoydis, Merlin Nimier-David, Sebastian Cammerer, Alexander Keller
2025 J jnl
Sionna Research Kit: A GPU-Accelerated Research Platform for AI-RAN.
CoRR
Sebastian Cammerer, Guillermo Marcus, Tobias Zirr, Fayçal Aït Aoudia, Lorenzo Maggi, Jakob Hoydis, Alexander Keller
2025 J jnl
Toward Digital Network Twins: Integrating Sionna RT in ns-3 for 6G Multi-RAT Networks Simulations.
CoRR
Roberto Pegurri, Francesco Linsalata, Eugenio Moro, Jakob Hoydis, Umberto Spagnolini
2025 — conf
Toward Digital Network Twins: Integrating Sionna RT in ns-3 for 6G Multi-Rat Networks Simulations.
INFOCOM WKSHPS
Roberto Pegurri, Francesco Linsalata, Eugenio Moro, Jakob Hoydis, Umberto Spagnolini
2025 B conf
Towards Digital Network Twins: Full-Stack and Multi-Stack Solution for 6G Simulations.
WCNC
Roberto Pegurri, Eugenio Moro, Francesco Linsalata, Jakob Hoydis, Umberto Spagnolini
2024 J jnl
Attacking and Defending Deep-Learning-Based Off-Device Wireless Positioning Systems.
IEEE Trans. Wirel. Commun.
Pengzhi Huang, Emre Gönültas, Maximilian Arnold, K. Pavan Srinath, Jakob Hoydis, Christoph Studer
2024 J jnl
Design of a Standard-Compliant Real-Time Neural Receiver for 5G NR.
CoRR
Reinhard Wiesmayr, Sebastian Cammerer, Fayçal Aït Aoudia, Jakob Hoydis, Jakub Zakrzewski, Alexander Keller
2023 — conf
A Neural Receiver for 5G NR Multi-User MIMO.
GLOBECOM (Workshops)
Sebastian Cammerer, Fayçal Aït Aoudia, Jakob Hoydis, Andreas Oeldemann, Andreas Roessler, Timo Mayer, Alexander Keller
2023 J jnl
A Neural Receiver for 5G NR Multi-user MIMO.
CoRR
Sebastian Cammerer, Fayçal Aït Aoudia, Jakob Hoydis, Andreas Oeldemann, Andreas Roessler, Timo Mayer, Alexander Keller
2023 J jnl
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications.
IEEE Trans. Wirel. Commun.
K. Pavan Srinath, Jakob Hoydis
2023 J jnl
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theory.
IEEE Trans. Wirel. Commun.
K. Pavan Srinath, Jakob Hoydis
2023 J jnl
Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimates.
CoRR
Clement Ruah, Osvaldo Simeone, Jakob Hoydis, Bashir M. Al-Hashimi
2023 J jnl
Learning Radio Environments by Differentiable Ray Tracing.
CoRR
Jakob Hoydis, Fayçal Aït Aoudia, Sebastian Cammerer, Florian Euchner, Merlin Nimier-David, Stephan ten Brink, Alexander Keller
2023 — conf
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling.
GLOBECOM (Workshops)
Jakob Hoydis, Fayçal Ait Aoudia, Sebastian Cammerer, Merlin Nimier-David, Nikolaus Binder, Guillermo Marcus, Alexander Keller
2023 J jnl
Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling.
CoRR
Jakob Hoydis, Fayçal Aït Aoudia, Sebastian Cammerer, Merlin Nimier-David, Nikolaus Binder, Guillermo Marcus, Alexander Keller
2022 J jnl
Attacking and Defending Deep-Learning-Based Off-Device Wireless Positioning Systems.
CoRR
Pengzhi Huang, Emre Gönültas, Maximilian Arnold, K. Pavan Srinath, Jakob Hoydis, Christoph Studer
2022 J jnl
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications.
CoRR
Pavan Koteshwar Srinath, Jakob Hoydis
2022 J jnl
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theory.
CoRR
Pavan Koteshwar Srinath, Jakob Hoydis
2022 — conf
DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems.
IEEECONF
Reinhard Wiesmayr, Chris Dick, Jakob Hoydis, Christoph Studer
2022 J jnl
DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems.
CoRR
Reinhard Wiesmayr, Chris Dick, Jakob Hoydis, Christoph Studer
2022 B conf
Deep Learning-Based Synchronization for Uplink NB-IoT.
GLOBECOM
Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller
2022 J jnl
Deep Learning-Based Synchronization for Uplink NB-IoT.
CoRR
Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller
2022 J jnl
End-to-End Learning for OFDM: From Neural Receivers to Pilotless Communication.
IEEE Trans. Wirel. Commun.
Fayçal Ait Aoudia, Jakob Hoydis
2022 — conf
Graph Neural Networks for Channel Decoding.
GLOBECOM (Workshops)
Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia, Alexander Keller
2022 J jnl
Graph Neural Networks for Channel Decoding.
CoRR
Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia, Alexander Keller
2022 — conf
Joint Channel Estimation and Hybrid Beamforming via Deep-Unfolding.
EUSIPCO
Kai Kang, Qiyu Hu, Yunlong Cai, Guanding Yu, Jakob Hoydis, Yonina C. Eldar
2022 J jnl
Mixed-Timescale Deep-Unfolding for Joint Channel Estimation and Hybrid Beamforming.
CoRR
Kai Kang, Qiyu Hu, Yunlong Cai, Guanding Yu, Jakob Hoydis, Yonina C. Eldar
2022 J jnl
Mixed-Timescale Deep-Unfolding for Joint Channel Estimation and Hybrid Beamforming.
IEEE J. Sel. Areas Commun.
Kai Kang, Qiyu Hu, Yunlong Cai, Guanding Yu, Jakob Hoydis, Yonina C. Eldar
2022 J jnl
Series Editorial The Fourth Issue of the Series on Machine Learning in Communications and Networks.
IEEE J. Sel. Areas Commun.
Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar Mohamed Hashim Elmirghani
2022 J jnl
Series Editorial The Sixth Issue of the Series on Machine Learning in Communications and Networks.
IEEE J. Sel. Areas Commun.
Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani
2022 J jnl
Sionna: An Open-Source Library for Next-Generation Physical Layer Research.
CoRR
Jakob Hoydis, Sebastian Cammerer, Fayçal Ait Aoudia, Avinash Vem, Nikolaus Binder, Guillermo Marcus, Alexander Keller
2022 J jnl
The Fifth Issue of the Series on Machine Learning in Communications and Networks.
IEEE J. Sel. Areas Commun.
Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani
2022 J jnl
Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding.
IEEE J. Sel. Areas Commun.
Qiyu Hu, Yunlong Cai, Kai Kang, Guanding Yu, Jakob Hoydis, Yonina C. Eldar
2022 J jnl
Waveform Learning for Next-Generation Wireless Communication Systems.
IEEE Trans. Commun.
Fayçal Ait Aoudia, Jakob Hoydis
2022 J jnl
Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier.
CoRR
Dani Korpi, Mikko Honkala, Janne M. J. Huttunen, Fayçal Ait Aoudia, Jakob Hoydis
2021 J jnl
Bayesian Optimization for Radio Resource Management: Open Loop Power Control.
IEEE J. Sel. Areas Commun.
Lorenzo Maggi, Alvaro Valcarce, Jakob Hoydis
2021 — conf
End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints.
GLOBECOM (Workshops)
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
2021 J jnl
End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints.
CoRR
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
2021 — conf
End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping.
GLOBECOM (Workshops)
Fayçal Ait Aoudia, Jakob Hoydis
2021 J jnl
End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping.
CoRR
Fayçal Ait Aoudia, Jakob Hoydis
2021 J jnl
Guest Editorial: AI and 6G Convergence: An Energy Efficiency Perspective.
IEEE Netw.
Van Zhang, Melike Erol-Kantarci, Wen Sun, Yueyue Dai, Jakob Hoydis, Mustafa Cenk Gursoy
2021 — conf
Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer.
ISWCS
Brian Rappaport, Emre Gönültas, Jakob Hoydis, Maximilian Arnold, Pavan Koteshwar Srinath, Christoph Studer
2021 J jnl
Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer.
CoRR
Brian Rappaport, Emre Gönültas, Jakob Hoydis, Maximilian Arnold, Pavan Koteshwar Srinath, Christoph Studer
2021 J jnl
Learning OFDM Waveforms with PAPR and ACLR Constraints.
CoRR
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
2021 J jnl
Machine Learning for MU-MIMO Receive Processing in OFDM Systems.
IEEE J. Sel. Areas Commun.
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
2021 — conf
Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems.
SPAWC
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
2021 J jnl
Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems.
CoRR
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
2021 J jnl
Series Editorial: Inauguration Issue of the Series on Machine Learning in Communications and Networks.
IEEE J. Sel. Areas Commun.
Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani
2021 J jnl
Series Editorial: The Second Issue of the Series on Machine Learning in Communications and Networks.
IEEE J. Sel. Areas Commun.
Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar Mohamed Hashim Elmirghani
2021 J jnl
Series Editorial: The Third Issue of the Series on Machine Learning in Communications and Networks.
IEEE J. Sel. Areas Commun.
Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani
2021 B conf
SubSRNN: Tailored Neural Network for Channel Estimation with Robustness against Diversities.
GLOBECOM
Wenliang Qi, Jiaqi Quan, Jakob Hoydis, Chenhui Ye
2021 — conf
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning.
GLOBECOM (Workshops)
Mateus P. Mota, Alvaro Valcarce, Jean-Marie Gorce, Jakob Hoydis
2021 J jnl
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning.
CoRR
Mateus P. Mota, Alvaro Valcarce, Jean-Marie Gorce, Jakob Hoydis
2021 J jnl
Toward Joint Learning of Optimal MAC Signaling and Wireless Channel Access.
IEEE Trans. Cogn. Commun. Netw.
Alvaro Valcarce, Jakob Hoydis
2021 J jnl
Toward a 6G AI-Native Air Interface.
IEEE Commun. Mag.
Jakob Hoydis, Fayçal Ait Aoudia, Alvaro Valcarce, Harish Viswanathan
2021 — conf
Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning.
ICC Workshops
Fayçal Ait Aoudia, Jakob Hoydis
2021 J jnl
Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning.
CoRR
Fayçal Ait Aoudia, Jakob Hoydis
2021 J jnl
Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding.
CoRR
Qiyu Hu, Yunlong Cai, Kai Kang, Guanding Yu, Jakob Hoydis, Yonina C. Eldar
2021 J jnl
Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis.
CoRR
Faris B. Mismar, Jakob Hoydis
2021 J jnl
Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis.
IEEE Commun. Lett.
Faris B. Mismar, Jakob Hoydis
2021 J jnl
Waveform Learning for Next-Generation Wireless Communication Systems.
CoRR
Fayçal Ait Aoudia, Jakob Hoydis
2020 J jnl
Adaptive Neural Signal Detection for Massive MIMO.
IEEE Trans. Wirel. Commun.
Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming
2020 J jnl
Bayesian Optimization for Radio Resource Management: Open Loop Power Control.
CoRR
Lorenzo Maggi, Alvaro Valcarce Rial, Jakob Hoydis
2020 — conf
Deep HyperNetwork-Based MIMO Detection.
SPAWC
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis
2020 J jnl
Deep HyperNetwork-Based MIMO Detection.
CoRR
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis
2020 J jnl
End-to-end Learning for OFDM: From Neural Receivers to Pilotless Communication.
CoRR
Fayçal Ait Aoudia, Jakob Hoydis
2020 Misc conf
Exploiting Channel Locality for Adaptive Massive MIMO Signal Detection.
ICASSP
Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming
2020 — conf
Extended Abstract: Deep Learning of the Physical Layer for BICM Systems.
SiPS
Fayçal Ait Aoudia, Sebastian Cammerer, Sebastian Dörner, Maximilian Stark, Jakob Hoydis, Stephan ten Brink
2020 B conf
Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems.
GLOBECOM
Fayçal Ait Aoudia, Jakob Hoydis
2020 J jnl
Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems.
CoRR
Fayçal Ait Aoudia, Jakob Hoydis
2020 J jnl
Learning to Communicate and Energize: Modulation, Coding, and Multiple Access Designs for Wireless Information-Power Transmission.
IEEE Trans. Commun.
Morteza Varasteh, Jakob Hoydis, Bruno Clerckx
2020 J jnl
Machine Learning for MU-MIMO Receive Processing in OFDM Systems.
CoRR
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce
2020 J jnl
Special issue on advances and applications of artificial intelligence and machine learning for wireless communications.
J. Commun. Networks
H. Birkan Yilmaz, Chan-Byoung Chae, Yansha Deng, Tim O'Shea, Linglong Dai, Namyoon Lee, Jakob Hoydis
2020 J jnl
Toward Massive MIMO 2.0: Understanding Spatial Correlation, Interference Suppression, and Pilot Contamination.
IEEE Trans. Commun.
Luca Sanguinetti, Emil Björnson, Jakob Hoydis
2020 J jnl
Towards Joint Learning of Optimal Signaling and Wireless Channel Access.
CoRR
Alvaro Valcarce, Jakob Hoydis
2020 J jnl
Towards a 6G AI-Native Air Interface.
CoRR
Jakob Hoydis, Fayçal Ait Aoudia, Alvaro Valcarce, Harish Viswanathan
2020 J jnl
Trainable Communication Systems: Concepts and Prototype.
IEEE Trans. Commun.
Sebastian Cammerer, Fayçal Ait Aoudia, Sebastian Dörner, Maximilian Stark, Jakob Hoydis, Stephan ten Brink
2019 — conf
"Machine LLRning": Learning to Softly Demodulate.
GLOBECOM Workshops
Ori Shental, Jakob Hoydis
2019 J jnl
"Machine LLRning": Learning to Softly Demodulate.
CoRR
Ori Shental, Jakob Hoydis
2019 J jnl
Adaptive Neural Signal Detection for Massive MIMO.
CoRR
Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming
2019 B conf
Deep Reinforcement Learning Autoencoder with Noisy Feedback.
WiOpt
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis
2019 J jnl
Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction.
CoRR
Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer, Sarah Yan, Jakob Hoydis, Stephan ten Brink
2019 J jnl
Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency.
IEEE Trans. Commun.
Emil Björnson, Luca Sanguinetti, Jakob Hoydis
2019 J jnl
Introduction to the special section on deep reinforcement learning for future wireless communication networks.
IEEE Trans. Cogn. Commun. Netw.
Shimin Gong, Dinh Thai Hoang, Dusit Niyato, Ahmed El Shafie, Antonio De Domenico, Emilio Calvanese Strinati, Jakob Hoydis
2019 — conf
Joint Learning of Geometric and Probabilistic Constellation Shaping.
GLOBECOM Workshops
Maximilian Stark, Fayçal Ait Aoudia, Jakob Hoydis
2019 J jnl
Joint Learning of Geometric and Probabilistic Constellation Shaping.
CoRR
Maximilian Stark, Fayçal Ait Aoudia, Jakob Hoydis
2019 — conf
Learning Modulation Design for SWIPT with Nonlinear Energy Harvester: Large and Small Signal Power Regimes.
SPAWC
Morteza Varasteh, Jakob Hoydis, Bruno Clerckx
2019 J jnl
Learning Modulation Design for SWIPT with Nonlinear Energy Harvester: Large and Small Signal Power Regimes.
CoRR
Morteza Varasteh, Jakob Hoydis, Bruno Clerckx
2019 J jnl
Learning to Communicate and Energize: Modulation, Coding and Multiple Access Designs for Wireless Information-Power Transmission.
CoRR
Morteza Varasteh, Jakob Hoydis, Bruno Clerckx
2019 J jnl
Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays.
CoRR
Emil Björnson, Luca Sanguinetti, Henk Wymeersch, Jakob Hoydis, Thomas L. Marzetta
2019 J jnl
Massive MIMO is a reality - What is next?: Five promising research directions for antenna arrays.
Digit. Signal Process.
Emil Björnson, Luca Sanguinetti, Henk Wymeersch, Jakob Hoydis, Thomas L. Marzetta
2019 J jnl
Model-Free Training of End-to-End Communication Systems.
IEEE J. Sel. Areas Commun.
Fayçal Ait Aoudia, Jakob Hoydis
2019 J jnl
Smart Radio Environments Empowered by AI Reconfigurable Meta-Surfaces: An Idea Whose Time Has Come.
CoRR
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
2019 J jnl
Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come.
EURASIP J. Wirel. Commun. Netw.
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
2019 — conf
Towards Hardware Implementation of Neural Network-based Communication Algorithms.
SPAWC
Fayçal Ait Aoudia, Jakob Hoydis
2019 J jnl
Towards Hardware Implementation of Neural Network-based Communication Algorithms.
CoRR
Fayçal Ait Aoudia, Jakob Hoydis
2019 J jnl
Towards Massive MIMO 2.0: Understanding spatial correlation, interference suppression, and pilot contamination.
CoRR
Luca Sanguinetti, Emil Björnson, Jakob Hoydis
2019 Misc conf
Towards Practical FDD Massive MIMO: CSI Extrapolation Driven by Deep Learning and Actual Channel Measurements.
ACSSC
Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink
2019 J jnl
Trainable Communication Systems: Concepts and Prototype.
CoRR
Sebastian Cammerer, Fayçal Ait Aoudia, Sebastian Dörner, Maximilian Stark, Jakob Hoydis, Stephan ten Brink
2019 J jnl
Transmitter Classification With Supervised Deep Learning.
CoRR
Cyrille Morin, Leonardo S. Cardoso, Jakob Hoydis, Jean-Marie Gorce, Thibaud Vial
2019 — conf
Transmitter Classification with Supervised Deep Learning.
CrownCom
Cyrille Morin, Leonardo S. Cardoso, Jakob Hoydis, Jean-Marie Gorce, Thibaud Vial
2018 J jnl
Can Hardware Distortion Correlation be Neglected When Analyzing Uplink SE in Massive MIMO?
CoRR
Emil Björnson, Luca Sanguinetti, Jakob Hoydis
2018 — conf
Can Hardware Distortion Correlation be Neglected when Analyzing Uplink SE in Massive MIMO?
SPAWC
Emil Björnson, Luca Sanguinetti, Jakob Hoydis
2018 J jnl
Deep Learning Based Communication Over the Air.
IEEE J. Sel. Top. Signal Process.
Sebastian Dörner, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink
2018 J jnl
Deep Reinforcement Learning Autoencoder with Noisy Feedback.
CoRR
Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis
2018 Misc conf
End-to-End Learning of Communications Systems Without a Channel Model.
ACSSC
Fayçal Ait Aoudia, Jakob Hoydis
2018 J jnl
End-to-End Learning of Communications Systems Without a Channel Model.
CoRR
Fayçal Ait Aoudia, Jakob Hoydis
2018 B conf
Fundamental Asymptotic Behavior of (Two-User) Distributed Massive MIMO.
GLOBECOM
Luca Sanguinetti, Emil Björnson, Jakob Hoydis
2018 J jnl
Fundamental Asymptotic Behavior of (Two-User) Distributed Massive MIMO.
CoRR
Luca Sanguinetti, Emil Björnson, Jakob Hoydis
2018 J jnl
Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency.
CoRR
Emil Björnson, Luca Sanguinetti, Jakob Hoydis
2018 J jnl
Massive MIMO Has Unlimited Capacity.
IEEE Trans. Wirel. Commun.
Emil Björnson, Jakob Hoydis, Luca Sanguinetti
2018 J jnl
Model-free Training of End-to-end Communication Systems.
CoRR
Fayçal Ait Aoudia, Jakob Hoydis
2018 — conf
OFDM-Autoencoder for End-to-End Learning of Communications Systems.
SPAWC
Alexander Felix, Sebastian Cammerer, Sebastian Dörner, Jakob Hoydis, Stephan ten Brink
2018 J jnl
OFDM-Autoencoder for End-to-End Learning of Communications Systems.
CoRR
Alexander Felix, Sebastian Cammerer, Sebastian Dörner, Jakob Hoydis, Stephan ten Brink
2018 — conf
Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes.
ISWCS
Stefan Schibisch, Sebastian Cammerer, Sebastian Dörner, Jakob Hoydis, Stephan ten Brink
2018 J jnl
Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes.
CoRR
Stefan Schibisch, Sebastian Cammerer, Sebastian Dörner, Jakob Hoydis, Stephan ten Brink
2017 J jnl
An Introduction to Deep Learning for the Physical Layer.
IEEE Trans. Cogn. Commun. Netw.
Timothy J. O'Shea, Jakob Hoydis
2017 J jnl
An Introduction to Machine Learning Communications Systems.
CoRR
Timothy J. O'Shea, Jakob Hoydis
2017 Misc conf
Combining belief propagation and successive cancellation list decoding of polar codes on a GPU platform.
ICASSP
Sebastian Cammerer, Benedikt Leible, Matthias Stahl, Jakob Hoydis, Stephan ten Brink
2017 J jnl
Deep Learning-Based Communication Over the Air.
CoRR
Sebastian Dörner, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink
2017 J jnl
Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency.
Found. Trends Signal Process.
Emil Björnson, Jakob Hoydis, Luca Sanguinetti
2017 J jnl
Massive MIMO has Unlimited Capacity.
CoRR
Emil Björnson, Jakob Hoydis, Luca Sanguinetti
2017 J jnl
On Deep Learning-Based Channel Decoding.
CoRR
Tobias Gruber, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink
2017 Misc conf
On deep learning-based channel decoding.
CISS
Tobias Gruber, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink
2017 Misc conf
On deep learning-based communication over the air.
ACSSC
Sebastian Dörner, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink
2017 — conf
Pilot contamination is not a fundamental asymptotic limitation in massive MIMO.
ICC
Emil Björnson, Jakob Hoydis, Luca Sanguinetti
2017 B conf
Scaling Deep Learning-Based Decoding of Polar Codes via Partitioning.
GLOBECOM
Sebastian Cammerer, Tobias Gruber, Jakob Hoydis, Stephan ten Brink
2017 J jnl
Scaling Deep Learning-based Decoding of Polar Codes via Partitioning.
CoRR
Sebastian Cammerer, Tobias Gruber, Jakob Hoydis, Stephan ten Brink
2016 J jnl
Combining Belief Propagation and Successive Cancellation List Decoding of Polar Codes on a GPU Platform.
CoRR
Sebastian Cammerer, Benedikt Leible, Matthias Stahl, Jakob Hoydis, Stephan ten Brink
2016 J jnl
Pilot Contamination is Not a Fundamental Asymptotic Limitation in Massive MIMO.
CoRR
Emil Björnson, Jakob Hoydis, Luca Sanguinetti
2015 J jnl
Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?
IEEE Trans. Wirel. Commun.
Emil Björnson, Luca Sanguinetti, Jakob Hoydis, Mérouane Debbah
2015 J jnl
The Second-Order Coding Rate of the MIMO Quasi-Static Rayleigh Fading Channel.
IEEE Trans. Inf. Theory
Jakob Hoydis, Romain Couillet, Pablo Piantanida
2014 B conf
Designing multi-user MIMO for energy efficiency: When is massive MIMO the answer?
WCNC
Emil Björnson, Luca Sanguinetti, Jakob Hoydis, Mérouane Debbah
2014 J jnl
Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits.
IEEE Trans. Inf. Theory
Emil Björnson, Jakob Hoydis, Marios Kountouris, Mérouane Debbah
2014 J jnl
Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?
CoRR
Emil Björnson, Luca Sanguinetti, Jakob Hoydis, Mérouane Debbah
2013 B conf
Bounds on the second-order coding rate of the MIMO Rayleigh block-fading channel.
ISIT
Jakob Hoydis, Romain Couillet, Pablo Piantanida
2013 J jnl
Designing Multi-User MIMO for Energy Efficiency: When is Massive MIMO the Answer?
CoRR
Emil Björnson, Luca Sanguinetti, Jakob Hoydis, Mérouane Debbah
2013 J jnl
Hardware Impairments in Large-scale MISO Systems: Energy Efficiency, Estimation, and Capacity Limits
CoRR
Emil Björnson, Jakob Hoydis, Marios Kountouris, Mérouane Debbah
2013 — conf
Hardware impairments in large-scale MISO systems: Energy efficiency, estimation, and capacity limits.
DSP
Emil Björnson, Jakob Hoydis, Marios Kountouris, Mérouane Debbah
2013 J jnl
Making Smart Use of Excess Antennas: Massive MIMO, Small Cells, and TDD.
Bell Labs Tech. J.
Jakob Hoydis, Kianoush Hosseini, Stephan ten Brink, Mérouane Debbah
2013 J jnl
Massive MIMO Systems with Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits.
CoRR
Emil Björnson, Jakob Hoydis, Marios Kountouris, Mérouane Debbah
2013 — conf
Massive MIMO and small cells: How to densify heterogeneous networks.
ICC
Kianoush Hosseini, Jakob Hoydis, Stephan ten Brink, Mérouane Debbah
2013 J jnl
Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?
IEEE J. Sel. Areas Commun.
Jakob Hoydis, Stephan ten Brink, Mérouane Debbah
2013 — conf
Rate loss analysis of transmitter cooperation with distributed CSIT.
SPAWC
Paul de Kerret, Jakob Hoydis, David Gesbert
2013 B conf
Sharpened capacity lower bounds of fading MIMO channels with imperfect CSI.
ISIT
Adriano Pastore, Jakob Hoydis, Javier Rodríguez Fonollosa
2013 J jnl
The Second-Order Coding Rate of the MIMO Rayleigh Block-Fading Channel
CoRR
Jakob Hoydis, Romain Couillet, Pablo Piantanida
2012 B conf
A random matrix approach to the finite blocklength regime of MIMO fading channels.
ISIT
Jakob Hoydis, Romain Couillet, Pablo Piantanida, Mérouane Debbah
2012 B conf
Analysis of multicell cooperation with random user locations via deterministic equivalents.
WiOpt
Jakob Hoydis, Axel Müller, Romain Couillet, Mérouane Debbah
2012 — conf
Channel measurements for large antenna arrays.
ISWCS
Jakob Hoydis, Cornelis Hoek, Thorsten Wild, Stephan ten Brink
2012 — conf
Comparison of linear precoding schemes for downlink massive MIMO.
ICC
Jakob Hoydis, Stephan ten Brink, Mérouane Debbah
2012 B conf
Optimal 3D cell planning: A random matrix approach.
GLOBECOM
Axel Müller, Jakob Hoydis, Romain Couillet, Mérouane Debbah
2012 J jnl
Random Beamforming Over Quasi-Static and Fading Channels: A Deterministic Equivalent Approach.
IEEE Trans. Inf. Theory
Romain Couillet, Jakob Hoydis, Mérouane Debbah
2011 J jnl
Asymptotic Analysis of Double-Scattering Channels
CoRR
Jakob Hoydis, Romain Couillet, Mérouane Debbah
2011 J jnl
Asymptotic Moments for Interference Mitigation in Correlated Fading Channels
CoRR
Jakob Hoydis, Mérouane Debbah, Mari Kobayashi
2011 — conf
Asymptotic analysis of double-scattering channels.
ACSCC
Jakob Hoydis, Romain Couillet, Mérouane Debbah
2011 B conf
Asymptotic moments for interference mitigation in correlated fading channels.
ISIT
Jakob Hoydis, Mérouane Debbah, Mari Kobayashi
2011 — conf
Deterministic Equivalents for the Performance Analysis of Isometric Random Precoded Systems.
ICC
Jakob Hoydis, Romain Couillet, Mérouane Debbah
2011 J jnl
Green Small-Cell Networks.
IEEE Veh. Technol. Mag.
Jakob Hoydis, Mari Kobayashi, Mérouane Debbah
2011 J jnl
Iterative Deterministic Equivalents for the Performance Analysis of Communication Systems
CoRR
Jakob Hoydis, Romain Couillet, Mérouane Debbah
2011 — conf
Massive MIMO: How many antennas do we need?
Allerton
Jakob Hoydis, Stephan ten Brink, Mérouane Debbah
2011 J jnl
Massive MIMO: How many antennas do we need?
CoRR
Jakob Hoydis, Stephan ten Brink, Mérouane Debbah
2011 Misc conf
On optimal channel training for uplink network MIMO systems.
ICASSP
Jakob Hoydis, Mari Kobayashi, Mérouane Debbah
2011 J jnl
Optimal Channel Training in Uplink Network MIMO Systems
CoRR
Jakob Hoydis, Mari Kobayashi, Mérouane Debbah
2011 J jnl
Optimal Channel Training in Uplink Network MIMO Systems.
IEEE Trans. Signal Process.
Jakob Hoydis, Mari Kobayashi, Mérouane Debbah
2011 J jnl
Random Beamforming over Correlated Fading Channels
CoRR
Jakob Hoydis, Romain Couillet, Mérouane Debbah
2011 — conf
Session WA1a: Channel estimation for multi-antenna systems.
ACSCC
Jakob Hoydis
2010 J jnl
A Deterministic Equivalent Approach to the Performance Analysis of Isometric Random Precoded Systems
CoRR
Romain Couillet, Jakob Hoydis, Mérouane Debbah
2010 B conf
Asymptotic analysis of distributed multi-cell beamforming.
PIMRC
Subhash Lakshminarayana, Jakob Hoydis, Mérouane Debbah, Mohamad Assaad
2010 — conf
Fluctuations of the mutual information in large distributed antenna systems with colored noise.
Allerton
Jakob Hoydis, Jamal Najim, Romain Couillet, Mérouane Debbah
2009 J jnl
Bounds and lattice-based transmission strategies for the phase-faded dirty-paper channel.
IEEE Trans. Wirel. Commun.
Amir Bennatan, Vaneet Aggarwal, Yiyue Wu, A. Robert Calderbank, Jakob Hoydis, Aik Chindapol
2009 J jnl
The Effects of Topology on the Local Throughput of Ad Hoc Networks.
Ad Hoc Sens. Wirel. Networks
Jakob Hoydis, Marina Petrova, Petri Mähönen
2008 B conf
Effects of topology on local throughput-capacity of ad hoc networks.
PIMRC
Jakob Hoydis, Marina Petrova, Petri Mähönen
2007 B conf
Evaluation of VoIP Performance in Downlink Cellular Networks With Multihop Relaying.
MASS
Nikolaj Marchenko, Jakob Hoydis, Aik Chindapol, Rainer Schoenen