Jakob Hoydis

IEEE Trans. Wirel. Commun., November, 2023

Bit-Metric Decoding Rate in Multi-User MIMO Systems: Applications.

[BibT_eX]

[DOI]

K. Pavan Srinath

IEEE Trans. Wirel. Commun., June, 2023

Calibrating Wireless Ray Tracing for Digital Twinning using Local Phase Error Estimates.

[BibT_eX]

[DOI]

CoRR, 2023

Learning Radio Environments by Differentiable Ray Tracing.

[BibT_eX]

[DOI]

CoRR, 2023

Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE Globecom Workshops 2023, 2023

A Neural Receiver for 5G NR Multi-User MIMO.

[BibT_eX]

[DOI]

Proceedings of the IEEE Globecom Workshops 2023, 2023

2022

End-to-End Learning for OFDM: From Neural Receivers to Pilotless Communication.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2022

Waveform Learning for Next-Generation Wireless Communication Systems.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2022

Series Editorial The Sixth Issue of the Series on Machine Learning in Communications and Networks.

[BibT_eX]

[DOI]

Jaafar Mohamed Hashim Elmirghani

IEEE J. Sel. Areas Commun., 2022

Series Editorial The Fourth Issue of the Series on Machine Learning in Communications and Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2022

The Fifth Issue of the Series on Machine Learning in Communications and Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2022

Mixed-Timescale Deep-Unfolding for Joint Channel Estimation and Hybrid Beamforming.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2022

Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2022

Attacking and Defending Deep-Learning-Based Off-Device Wireless Positioning Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Sionna: An Open-Source Library for Next-Generation Physical Layer Research.

[BibT_eX]

[DOI]

CoRR, 2022

Waveform Learning for Reduced Out-of-Band Emissions Under a Nonlinear Power Amplifier.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Neural Networks for Channel Decoding.

[BibT_eX]

[DOI]

Proceedings of the IEEE Globecom 2022 Workshops, 2022

Deep Learning-Based Synchronization for Uplink NB-IoT.

[BibT_eX]

[DOI]

Fayçal Aït Aoudia

Sebastian Cammerer

Matthijs Van Keirsbilck

Alexander Keller

Proceedings of the IEEE Global Communications Conference, 2022

Joint Channel Estimation and Hybrid Beamforming via Deep-Unfolding.

[BibT_eX]

[DOI]

Proceedings of the 30th European Signal Processing Conference, 2022

DUIDD: Deep-Unfolded Interleaved Detection and Decoding for MIMO Wireless Systems.

[BibT_eX]

[DOI]

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

Toward Joint Learning of Optimal MAC Signaling and Wireless Channel Access.

[BibT_eX]

[DOI]

Alvaro Valcarce

IEEE Trans. Cogn. Commun. Netw., 2021

Guest Editorial: AI and 6G Convergence: An Energy Efficiency Perspective.

[BibT_eX]

[DOI]

IEEE Netw., 2021

Bayesian Optimization for Radio Resource Management: Open Loop Power Control.

[BibT_eX]

[DOI]

Lorenzo Maggi

Alvaro Valcarce

IEEE J. Sel. Areas Commun., 2021

Series Editorial: The Third Issue of the Series on Machine Learning in Communications and Networks.

[BibT_eX]

[DOI]

Jaafar Mohamed Hashim Elmirghani

IEEE J. Sel. Areas Commun., 2021

Series Editorial: The Second Issue of the Series on Machine Learning in Communications and Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2021

Series Editorial: Inauguration Issue of the Series on Machine Learning in Communications and Networks.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2021

Machine Learning for MU-MIMO Receive Processing in OFDM Systems.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2021

Unsupervised Learning in Next-Generation Networks: Real-Time Performance Self-Diagnosis.

[BibT_eX]

[DOI]

Faris B. Mismar

IEEE Commun. Lett., 2021

Learning OFDM Waveforms with PAPR and ACLR Constraints.

[BibT_eX]

[DOI]

CoRR, 2021

Toward a 6G AI-Native Air Interface.

[BibT_eX]

[DOI]

IEEE Commun. Mag., 2021

Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Improving Channel Charting using a Split Triplet Loss and an Inertial Regularizer.

[BibT_eX]

[DOI]

Pavan Koteshwar Srinath

Christoph Studer

Proceedings of the 17th International Symposium on Wireless Communication Systems, 2021

Trimming the Fat from OFDM: Pilot- and CP-less Communication with End-to-end Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications Workshops, 2021

SubSRNN: Tailored Neural Network for Channel Estimation with Robustness against Diversities.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

End-to-End Learning of OFDM Waveforms with PAPR and ACLR Constraints.

[BibT_eX]

[DOI]

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

End-to-end Waveform Learning Through Joint Optimization of Pulse and Constellation Shaping.

[BibT_eX]

[DOI]

Proceedings of the IEEE Globecom 2021 Workshops, Madrid, Spain, December 7-11, 2021, 2021

2020

Adaptive Neural Signal Detection for Massive MIMO.

[BibT_eX]

[DOI]

Mehrdad Khani Shirkoohi

Mohammad Alizadeh

Phil Fleming

IEEE Trans. Wirel. Commun., 2020

Learning to Communicate and Energize: Modulation, Coding, and Multiple Access Designs for Wireless Information-Power Transmission.

[BibT_eX]

[DOI]

Morteza Varasteh

Bruno Clerckx

IEEE Trans. Commun., 2020

Toward Massive MIMO 2.0: Understanding Spatial Correlation, Interference Suppression, and Pilot Contamination.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2020

Trainable Communication Systems: Concepts and Prototype.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2020

Special issue on advances and applications of artificial intelligence and machine learning for wireless communications.

[BibT_eX]

[DOI]

J. Commun. Networks, 2020

Towards a 6G AI-Native Air Interface.

[BibT_eX]

[DOI]

CoRR, 2020

Towards Joint Learning of Optimal Signaling and Wireless Channel Access.

[BibT_eX]

[DOI]

Alvaro Valcarce

CoRR, 2020

Deep HyperNetwork-Based MIMO Detection.

[BibT_eX]

[DOI]

Mathieu Goutay

Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

Extended Abstract: Deep Learning of the Physical Layer for BICM Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Workshop on Signal Processing Systems, 2020

Exploiting Channel Locality for Adaptive Massive MIMO Signal Detection.

[BibT_eX]

[DOI]

Mehrdad Khani Shirkoohi

Mohammad Alizadeh

Phil Fleming

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

2019

Hardware Distortion Correlation Has Negligible Impact on UL Massive MIMO Spectral Efficiency.

[BibT_eX]

[DOI]

Emilio Calvanese Strinati

IEEE Trans. Commun., 2019

Introduction to the special section on deep reinforcement learning for future wireless communication networks.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Commun. Netw., 2019

Model-Free Training of End-to-End Communication Systems.

[BibT_eX]

[DOI]

George C. Alexandropoulos

IEEE J. Sel. Areas Commun., 2019

Smart radio environments empowered by reconfigurable AI meta-surfaces: an idea whose time has come.

[BibT_eX]

[DOI]

Vincenzo Sciancalepore

EURASIP J. Wirel. Commun. Netw., 2019

Massive MIMO is a reality - What is next?: Five promising research directions for antenna arrays.

[BibT_eX]

[DOI]

Digit. Signal Process., 2019

Towards Massive MIMO 2.0: Understanding spatial correlation, interference suppression, and pilot contamination.

[BibT_eX]

[DOI]

George C. Alexandropoulos

CoRR, 2019

Smart Radio Environments Empowered by AI Reconfigurable Meta-Surfaces: An Idea Whose Time Has Come.

[BibT_eX]

[DOI]

Vincenzo Sciancalepore

CoRR, 2019

Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Reinforcement Learning Autoencoder with Noisy Feedback.

[BibT_eX]

[DOI]

Mathieu Goutay

Proceedings of the International Symposium on Modeling and Optimization in Mobile, 2019

Learning Modulation Design for SWIPT with Nonlinear Energy Harvester: Large and Small Signal Power Regimes.

[BibT_eX]

[DOI]

Morteza Varasteh

Bruno Clerckx

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Towards Hardware Implementation of Neural Network-based Communication Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Joint Learning of Geometric and Probabilistic Constellation Shaping.

[BibT_eX]

[DOI]

Maximilian Stark

Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

"Machine LLRning": Learning to Softly Demodulate.

[BibT_eX]

[DOI]

Ori Shental

Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019

Transmitter Classification with Supervised Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Cognitive Radio-Oriented Wireless Networks, 2019

Towards Practical FDD Massive MIMO: CSI Extrapolation Driven by Deep Learning and Actual Channel Measurements.

[BibT_eX]

[DOI]

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

Massive MIMO Has Unlimited Capacity.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2018

Deep Learning Based Communication Over the Air.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2018

OFDM-Autoencoder for End-to-End Learning of Communications Systems.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Can Hardware Distortion Correlation be Neglected when Analyzing Uplink SE in Massive MIMO?

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Online Label Recovery for Deep Learning-based Communication through Error Correcting Codes.

[BibT_eX]

[DOI]

Proceedings of the 15th International Symposium on Wireless Communication Systems, 2018

Fundamental Asymptotic Behavior of (Two-User) Distributed Massive MIMO.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2018

End-to-End Learning of Communications Systems Without a Channel Model.

[BibT_eX]

[DOI]

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

An Introduction to Deep Learning for the Physical Layer.

[BibT_eX]

[DOI]

Timothy J. O'Shea

IEEE Trans. Cogn. Commun. Netw., 2017

Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency.

[BibT_eX]

[DOI]

Found. Trends Signal Process., 2017

An Introduction to Machine Learning Communications Systems.

[BibT_eX]

[DOI]

Timothy J. O'Shea

CoRR, 2017

Pilot contamination is not a fundamental asymptotic limitation in massive MIMO.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2017

Combining belief propagation and successive cancellation list decoding of polar codes on a GPU platform.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Scaling Deep Learning-Based Decoding of Polar Codes via Partitioning.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Communications Conference, 2017

On deep learning-based channel decoding.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

2015

Optimal Design of Energy-Efficient Multi-User MIMO Systems: Is Massive MIMO the Answer?

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2015

The Second-Order Coding Rate of the MIMO Quasi-Static Rayleigh Fading Channel.

[BibT_eX]

[DOI]

Pablo Piantanida

IEEE Trans. Inf. Theory, 2015

2014

Massive MIMO Systems With Non-Ideal Hardware: Energy Efficiency, Estimation, and Capacity Limits.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2014

Designing multi-user MIMO for energy efficiency: When is massive MIMO the answer?

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

2013

Massive MIMO in the UL/DL of Cellular Networks: How Many Antennas Do We Need?

[BibT_eX]

[DOI]

Stephan ten Brink

IEEE J. Sel. Areas Commun., 2013

The Second-Order Coding Rate of the MIMO Rayleigh Block-Fading Channel

[BibT_eX]

[DOI]

Pablo Piantanida

CoRR, 2013

Making Smart Use of Excess Antennas: Massive MIMO, Small Cells, and TDD.

[BibT_eX]

[DOI]

Bell Labs Tech. J., 2013

Rate loss analysis of transmitter cooperation with distributed CSIT.

[BibT_eX]

[DOI]

Paul de Kerret

David Gesbert

Proceedings of the 14th IEEE Workshop on Signal Processing Advances in Wireless Communications, 2013

Sharpened capacity lower bounds of fading MIMO channels with imperfect CSI.

[BibT_eX]

[DOI]

Adriano Pastore

Javier Rodríguez Fonollosa

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Bounds on the second-order coding rate of the MIMO Rayleigh block-fading channel.

[BibT_eX]

[DOI]

Pablo Piantanida

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Hardware impairments in large-scale MISO systems: Energy efficiency, estimation, and capacity limits.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Massive MIMO and small cells: How to densify heterogeneous networks.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2013

2012

Random Beamforming Over Quasi-Static and Fading Channels: A Deterministic Equivalent Approach.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2012

Analysis of multicell cooperation with random user locations via deterministic equivalents.

[BibT_eX]

[DOI]

Proceedings of the 10th International Symposium on Modeling and Optimization in Mobile, 2012

Channel measurements for large antenna arrays.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Symposium on Wireless Communication Systems (ISWCS), 2012

A random matrix approach to the finite blocklength regime of MIMO fading channels.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Comparison of linear precoding schemes for downlink massive MIMO.

[BibT_eX]

[DOI]

Stephan ten Brink

Proceedings of IEEE International Conference on Communications, 2012

Optimal 3D cell planning: A random matrix approach.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Global Communications Conference, 2012

2011

Green Small-Cell Networks.

[BibT_eX]

[DOI]

Mari Kobayashi

IEEE Veh. Technol. Mag., 2011

Optimal Channel Training in Uplink Network MIMO Systems.

[BibT_eX]

[DOI]

Mari Kobayashi

IEEE Trans. Signal Process., 2011

Iterative Deterministic Equivalents for the Performance Analysis of Communication Systems

[BibT_eX]

[DOI]

CoRR, 2011

Random Beamforming over Correlated Fading Channels

[BibT_eX]

[DOI]

CoRR, 2011

Asymptotic moments for interference mitigation in correlated fading channels.

[BibT_eX]

[DOI]

Mari Kobayashi

Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Deterministic Equivalents for the Performance Analysis of Isometric Random Precoded Systems.

[BibT_eX]

[DOI]

Proceedings of IEEE International Conference on Communications, 2011

Massive MIMO: How many antennas do we need?

[BibT_eX]

[DOI]

Stephan ten Brink

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Asymptotic analysis of double-scattering channels.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Session WA1a: Channel estimation for multi-antenna systems.

[BibT_eX]

[DOI]

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

A Deterministic Equivalent Approach to the Performance Analysis of Isometric Random Precoded Systems

[BibT_eX]

[DOI]

CoRR, 2010

Asymptotic analysis of distributed multi-cell beamforming.

[BibT_eX]

[DOI]

Subhash Lakshminarayana

Mohamad Assaad

Proceedings of the IEEE 21st International Symposium on Personal, 2010

Fluctuations of the mutual information in large distributed antenna systems with colored noise.

[BibT_eX]

[DOI]

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

Bounds and lattice-based transmission strategies for the phase-faded dirty-paper channel.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2009

The Effects of Topology on the Local Throughput of Ad Hoc Networks.

[BibT_eX]

[DOI]

Marina Petrova

Petri Mähönen

Ad Hoc Sens. Wirel. Networks, 2009

2008

Effects of topology on local throughput-capacity of ad hoc networks.

[BibT_eX]

[DOI]