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2020 – today
- 2023
[j41]K. Pavan Srinath
, Jakob Hoydis:
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications. IEEE Trans. Wirel. Commun. 22(6): 3968-3981 (2023)- [i66]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 abs/2303.11103 (2023) - 2022
- [j40]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): 1-4 (2022) - [j39]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): 163-181 (2022) - [j38]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): 2251-2253 (2022) - [j37]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): 2507-2509 (2022) - [j36]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): 2510-2528 (2022) - [j35]Fayçal Ait Aoudia, Jakob Hoydis:
Waveform Learning for Next-Generation Wireless Communication Systems. IEEE Trans. Commun. 70(6): 3804-3817 (2022) - [j34]Fayçal Ait Aoudia, Jakob Hoydis:
End-to-End Learning for OFDM: From Neural Receivers to Pilotless Communication. IEEE Trans. Wirel. Commun. 21(2): 1049-1063 (2022) - [c52]Reinhard Wiesmayr, Chris Dick, Jakob Hoydis, Christoph Studer:
DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems. IEEECONF 2022: 181-188 - [c51]Kai Kang, Qiyu Hu, Yunlong Cai, Guanding Yu, Jakob Hoydis, Yonina C. Eldar:
Joint Channel Estimation and Hybrid Beamforming via Deep-Unfolding. EUSIPCO 2022: 658-662 - [c50]Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia, Alexander Keller:
Graph Neural Networks for Channel Decoding. GLOBECOM (Workshops) 2022: 486-491 - [c49]Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller:
Deep Learning-Based Synchronization for Uplink NB-IoT. GLOBECOM 2022: 1478-1483 - [i65]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 abs/2201.05524 (2022) - [i64]Pavan Koteshwar Srinath, Jakob Hoydis:
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Theory. CoRR abs/2203.06271 (2022) - [i63]Pavan Koteshwar Srinath, Jakob Hoydis:
Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications. CoRR abs/2203.06273 (2022) - [i62]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 abs/2203.11854 (2022) - [i61]Fayçal Aït Aoudia, Jakob Hoydis, Sebastian Cammerer, Matthijs Van Keirsbilck, Alexander Keller:
Deep Learning-Based Synchronization for Uplink NB-IoT. CoRR abs/2205.10805 (2022) - [i60]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 abs/2206.03755 (2022) - [i59]Sebastian Cammerer, Jakob Hoydis, Fayçal Aït Aoudia, Alexander Keller:
Graph Neural Networks for Channel Decoding. CoRR abs/2207.14742 (2022) - [i58]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 abs/2211.08291 (2022) - [i57]Reinhard Wiesmayr, Chris Dick, Jakob Hoydis, Christoph Studer:
DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems. CoRR abs/2212.07816 (2022) - 2021
- [j33]Jakob Hoydis, Fayçal Ait Aoudia, Alvaro Valcarce, Harish Viswanathan:
Toward a 6G AI-Native Air Interface. IEEE Commun. Mag. 59(5): 76-81 (2021) - [j32]Faris B. Mismar, Jakob Hoydis:
Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis. IEEE Commun. Lett. 25(10): 3330-3334 (2021) - [j31]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): 1-3 (2021) - [j30]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): 1855-1857 (2021) - [j29]Lorenzo Maggi, Alvaro Valcarce, Jakob Hoydis:
Bayesian Optimization for Radio Resource Management: Open Loop Power Control. IEEE J. Sel. Areas Commun. 39(7): 1858-1871 (2021) - [j28]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): 2267-2270 (2021) - [j27]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): 2318-2332 (2021) - [j26]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): 10-11 (2021) - [j25]Alvaro Valcarce, Jakob Hoydis:
Toward Joint Learning of Optimal MAC Signaling and Wireless Channel Access. IEEE Trans. Cogn. Commun. Netw. 7(4): 1233-1243 (2021) - [c48]Fayçal Ait Aoudia, Jakob Hoydis:
End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping. GLOBECOM (Workshops) 2021: 1-6 - [c47]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: 1-6 - [c46]Mateus P. Mota, Alvaro Valcarce, Jean-Marie Gorce, Jakob Hoydis:
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning. GLOBECOM (Workshops) 2021: 1-6 - [c45]Wenliang Qi, Jiaqi Quan, Jakob Hoydis, Chenhui Ye:
SubSRNN: Tailored Neural Network for Channel Estimation with Robustness against Diversities. GLOBECOM 2021: 1-6 - [c44]Fayçal Ait Aoudia, Jakob Hoydis:
Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning. ICC Workshops 2021: 1-6 - [c43]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: 1-6 - [c42]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems. SPAWC 2021: 246-250 - [i56]Fayçal Ait Aoudia, Jakob Hoydis:
Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning. CoRR abs/2101.08213 (2021) - [i55]Faris B. Mismar, Jakob Hoydis:
Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis. CoRR abs/2104.06993 (2021) - [i54]Fayçal Ait Aoudia, Jakob Hoydis:
End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping. CoRR abs/2106.15158 (2021) - [i53]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints. CoRR abs/2106.16039 (2021) - [i52]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems. CoRR abs/2106.16074 (2021) - [i51]Mateus P. Mota, Alvaro Valcarce, Jean-Marie Gorce, Jakob Hoydis:
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning. CoRR abs/2108.07144 (2021) - [i50]Fayçal Ait Aoudia, Jakob Hoydis:
Waveform Learning for Next-Generation Wireless Communication Systems. CoRR abs/2109.00998 (2021) - [i49]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
Learning OFDM Waveforms with PAPR and ACLR Constraints. CoRR abs/2110.10987 (2021) - [i48]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 abs/2110.11279 (2021) - [i47]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 abs/2110.12059 (2021) - 2020
- [j24]H. 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): 173-176 (2020) - [j23]Luca Sanguinetti, Emil Björnson, Jakob Hoydis:
Toward Massive MIMO 2.0: Understanding Spatial Correlation, Interference Suppression, and Pilot Contamination. IEEE Trans. Commun. 68(1): 232-257 (2020) - [j22]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): 5489-5503 (2020) - [j21]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): 6822-6839 (2020) - [j20]Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Adaptive Neural Signal Detection for Massive MIMO. IEEE Trans. Wirel. Commun. 19(8): 5635-5648 (2020) - [c41]Fayçal Ait Aoudia, Jakob Hoydis:
Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems. GLOBECOM 2020: 1-6 - [c40]Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Exploiting Channel Locality for Adaptive Massive MIMO Signal Detection. ICASSP 2020: 8565-8568 - [c39]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: 1 - [c38]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis:
Deep HyperNetwork-Based MIMO Detection. SPAWC 2020: 1-5 - [i46]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis:
Deep HyperNetwork-Based MIMO Detection. CoRR abs/2002.02750 (2020) - [i45]Fayçal Ait Aoudia, Jakob Hoydis:
Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems. CoRR abs/2004.05062 (2020) - [i44]Alvaro Valcarce, Jakob Hoydis:
Towards Joint Learning of Optimal Signaling and Wireless Channel Access. CoRR abs/2007.09948 (2020) - [i43]Fayçal Ait Aoudia, Jakob Hoydis:
End-to-end Learning for OFDM: From Neural Receivers to Pilotless Communication. CoRR abs/2009.05261 (2020) - [i42]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
Machine Learning for MU-MIMO Receive Processing in OFDM Systems. CoRR abs/2012.08177 (2020) - [i41]Jakob Hoydis, Fayçal Ait Aoudia, Alvaro Valcarce, Harish Viswanathan:
Towards a 6G AI-Native Air Interface. CoRR abs/2012.08285 (2020) - [i40]Lorenzo Maggi, Alvaro Valcarce Rial, Jakob Hoydis:
Bayesian Optimization for Radio Resource Management: Open Loop Power Control. CoRR abs/2012.08469 (2020)
2010 – 2019
- 2019
- [j19]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: 3-20 (2019) - [j18]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: 129 (2019) - [j17]Fayçal Ait Aoudia, Jakob Hoydis:
Model-Free Training of End-to-End Communication Systems. IEEE J. Sel. Areas Commun. 37(11): 2503-2516 (2019) - [j16]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): 1019-1023 (2019) - [j15]Emil Björnson, Luca Sanguinetti, Jakob Hoydis:
Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency. IEEE Trans. Commun. 67(2): 1085-1098 (2019) - [c37]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: 1972-1976 - [c36]Cyrille Morin, Leonardo S. Cardoso, Jakob Hoydis, Jean-Marie Gorce, Thibaud Vial:
Transmitter Classification with Supervised Deep Learning. CrownCom 2019: 73-86 - [c35]Ori Shental, Jakob Hoydis:
"Machine LLRning": Learning to Softly Demodulate. GLOBECOM Workshops 2019: 1-7 - [c34]Maximilian Stark, Fayçal Ait Aoudia, Jakob Hoydis:
Joint Learning of Geometric and Probabilistic Constellation Shaping. GLOBECOM Workshops 2019: 1-6 - [c33]Fayçal Ait Aoudia, Jakob Hoydis:
Towards Hardware Implementation of Neural Network-based Communication Algorithms. SPAWC 2019: 1-5 - [c32]Morteza Varasteh, Jakob Hoydis, Bruno Clerckx:
Learning Modulation Design for SWIPT with Nonlinear Energy Harvester: Large and Small Signal Power Regimes. SPAWC 2019: 1-5 - [c31]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis:
Deep Reinforcement Learning Autoencoder with Noisy Feedback. WiOpt 2019: 1-6 - [i39]Maximilian Arnold, Sebastian Dörner, Sebastian Cammerer, Sarah Yan, Jakob Hoydis, Stephan ten Brink:
Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction. CoRR abs/1901.03664 (2019) - [i38]Fayçal Ait Aoudia, Jakob Hoydis:
Towards Hardware Implementation of Neural Network-based Communication Algorithms. CoRR abs/1902.06939 (2019) - [i37]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 abs/1902.07678 (2019) - [i36]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 abs/1903.08925 (2019) - [i35]Luca Sanguinetti, Emil Björnson, Jakob Hoydis:
Towards Massive MIMO 2.0: Understanding spatial correlation, interference suppression, and pilot contamination. CoRR abs/1904.03406 (2019) - [i34]Cyrille Morin, Leonardo S. Cardoso, Jakob Hoydis, Jean-Marie Gorce, Thibaud Vial:
Transmitter Classification With Supervised Deep Learning. CoRR abs/1905.07923 (2019) - [i33]Mehrdad Khani Shirkoohi, Mohammad Alizadeh, Jakob Hoydis, Phil Fleming:
Adaptive Neural Signal Detection for Massive MIMO. CoRR abs/1906.04610 (2019) - [i32]Maximilian Stark, Fayçal Ait Aoudia, Jakob Hoydis:
Joint Learning of Geometric and Probabilistic Constellation Shaping. CoRR abs/1906.07748 (2019) - [i31]Ori Shental, Jakob Hoydis:
"Machine LLRning": Learning to Softly Demodulate. CoRR abs/1907.01512 (2019) - [i30]Morteza Varasteh, Jakob Hoydis, Bruno Clerckx:
Learning Modulation Design for SWIPT with Nonlinear Energy Harvester: Large and Small Signal Power Regimes. CoRR abs/1908.11726 (2019) - [i29]Morteza Varasteh, Jakob Hoydis, Bruno Clerckx:
Learning to Communicate and Energize: Modulation, Coding and Multiple Access Designs for Wireless Information-Power Transmission. CoRR abs/1909.06492 (2019) - [i28]Sebastian Cammerer, Fayçal Ait Aoudia, Sebastian Dörner, Maximilian Stark, Jakob Hoydis, Stephan ten Brink:
Trainable Communication Systems: Concepts and Prototype. CoRR abs/1911.13055 (2019) - 2018
- [j14]Sebastian Dörner, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink:
Deep Learning Based Communication Over the Air. IEEE J. Sel. Top. Signal Process. 12(1): 132-143 (2018) - [j13]Emil Björnson, Jakob Hoydis, Luca Sanguinetti:
Massive MIMO Has Unlimited Capacity. IEEE Trans. Wirel. Commun. 17(1): 574-590 (2018) - [c30]Fayçal Ait Aoudia, Jakob Hoydis:
End-to-End Learning of Communications Systems Without a Channel Model. ACSSC 2018: 298-303 - [c29]Luca Sanguinetti, Emil Björnson, Jakob Hoydis:
Fundamental Asymptotic Behavior of (Two-User) Distributed Massive MIMO. GLOBECOM 2018: 1-6 - [c28]Stefan Schibisch, Sebastian Cammerer, Sebastian Dörner, Jakob Hoydis, Stephan ten Brink:
Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes. ISWCS 2018: 1-5 - [c27]Emil Björnson, Luca Sanguinetti, Jakob Hoydis:
Can Hardware Distortion Correlation be Neglected when Analyzing Uplink SE in Massive MIMO? SPAWC 2018: 1-5 - [c26]Alexander Felix, Sebastian Cammerer, Sebastian Dörner, Jakob Hoydis, Stephan ten Brink:
OFDM-Autoencoder for End-to-End Learning of Communications Systems. SPAWC 2018: 1-5 - [i27]Alexander Felix, Sebastian Cammerer, Sebastian Dörner, Jakob Hoydis, Stephan ten Brink:
OFDM-Autoencoder for End-to-End Learning of Communications Systems. CoRR abs/1803.05815 (2018) - [i26]Fayçal Ait Aoudia, Jakob Hoydis:
End-to-End Learning of Communications Systems Without a Channel Model. CoRR abs/1804.02276 (2018) - [i25]Emil Björnson, Luca Sanguinetti, Jakob Hoydis:
Can Hardware Distortion Correlation be Neglected When Analyzing Uplink SE in Massive MIMO? CoRR abs/1805.07958 (2018) - [i24]Stefan Schibisch, Sebastian Cammerer, Sebastian Dörner, Jakob Hoydis, Stephan ten Brink:
Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes. CoRR abs/1807.00747 (2018) - [i23]Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis:
Deep Reinforcement Learning Autoencoder with Noisy Feedback. CoRR abs/1810.05419 (2018) - [i22]Emil Björnson, Luca Sanguinetti, Jakob Hoydis:
Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency. CoRR abs/1811.02007 (2018) - [i21]Luca Sanguinetti, Emil Björnson, Jakob Hoydis:
Fundamental Asymptotic Behavior of (Two-User) Distributed Massive MIMO. CoRR abs/1811.03324 (2018) - [i20]Fayçal Ait Aoudia, Jakob Hoydis:
Model-free Training of End-to-end Communication Systems. CoRR abs/1812.05929 (2018) - 2017
- [j12]Emil Björnson, Jakob Hoydis, Luca Sanguinetti:
Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency. Found. Trends Signal Process. 11(3-4): 154-655 (2017) - [j11]Timothy J. O'Shea, Jakob Hoydis:
An Introduction to Deep Learning for the Physical Layer. IEEE Trans. Cogn. Commun. Netw. 3(4): 563-575 (2017) - [c25]Sebastian Dörner, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink:
On deep learning-based communication over the air. ACSSC 2017: 1791-1795 - [c24]Tobias Gruber, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink:
On deep learning-based channel decoding. CISS 2017: 1-6 - [c23]Sebastian Cammerer, Tobias Gruber, Jakob Hoydis, Stephan ten Brink:
Scaling Deep Learning-Based Decoding of Polar Codes via Partitioning. GLOBECOM 2017: 1-6 - [c22]Sebastian Cammerer, Benedikt Leible, Matthias Stahl, Jakob Hoydis, Stephan ten Brink:
Combining belief propagation and successive cancellation list decoding of polar codes on a GPU platform. ICASSP 2017: 3664-3668 - [c21]Emil Björnson, Jakob Hoydis, Luca Sanguinetti:
Pilot contamination is not a fundamental asymptotic limitation in massive MIMO. ICC 2017: 1-6 - [i19]Tobias Gruber, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink:
On Deep Learning-Based Channel Decoding. CoRR abs/1701.07738 (2017) - [i18]Timothy J. O'Shea, Jakob Hoydis:
An Introduction to Machine Learning Communications Systems. CoRR abs/1702.00832 (2017) - [i17]Sebastian Cammerer, Tobias Gruber, Jakob Hoydis, Stephan ten Brink:
Scaling Deep Learning-based Decoding of Polar Codes via Partitioning. CoRR abs/1702.06901 (2017) - [i16]Emil Björnson, Jakob Hoydis, Luca Sanguinetti:
Massive MIMO has Unlimited Capacity. CoRR abs/1705.00538 (2017) - [i15]Sebastian Dörner, Sebastian Cammerer, Jakob Hoydis, Stephan ten Brink:
Deep Learning-Based Communication Over the Air. CoRR abs/1707.03384 (2017) - 2016
- [i14]Sebastian Cammerer, Benedikt Leible, Matthias Stahl, Jakob Hoydis, Stephan ten Brink:
Combining Belief Propagation and Successive Cancellation List Decoding of Polar Codes on a GPU Platform. CoRR abs/1609.09358 (2016) - [i13]