Jakob Hoydis

is this you? claim profile

1 follower

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

Orthogonal frequency division multiplexing (OFDM) is one of the dominant...
01/20/2021 ∙ by Fayçal Ait Aoudia, et al. ∙ 0 ∙ share

read it
Bayesian Optimization for Radio Resource Management: Open Loop Power Control

The purpose of this paper is to provide the reader with an accessible ye...
12/15/2020 ∙ by Lorenzo Maggi, et al. ∙ 0 ∙ share

read it
Towards a 6G AI-Native Air Interface

Each generation of cellular communication systems is marked by a definin...
12/15/2020 ∙ by Jakob Hoydis, et al. ∙ 0 ∙ share

read it
Machine Learning for MU-MIMO Receive Processing in OFDM Systems

Machine learning (ML) starts to be widely used to enhance the performanc...
12/15/2020 ∙ by Mathieu Goutay, et al. ∙ 7 ∙ share

read it
End-to-end Learning for OFDM: From Neural Receivers to Pilotless Communication

Previous studies have demonstrated that end-to-end learning enables sign...
09/11/2020 ∙ by Fayçal Ait Aoudia, et al. ∙ 0 ∙ share

read it
Towards Joint Learning of Optimal Signaling and Wireless Channel Access

Communication protocols are the languages used by network nodes to accom...
07/20/2020 ∙ by Alvaro Valcarce, et al. ∙ 0 ∙ share

read it
Joint Learning of Probabilistic and Geometric Shaping for Coded Modulation Systems

We introduce a trainable coded modulation scheme that enables joint opti...
04/10/2020 ∙ by Fayçal Ait Aoudia, et al. ∙ 0 ∙ share

read it
Deep HyperNetwork-Based MIMO Detection

Optimal symbol detection for multiple-input multiple-output (MIMO) syste...
02/07/2020 ∙ by Mathieu Goutay, et al. ∙ 0 ∙ share

read it
Trainable Communication Systems: Concepts and Prototype

We consider a trainable point-to-point communication system, where both ...
11/29/2019 ∙ by Sebastian Cammerer, et al. ∙ 0 ∙ share

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

The explosion of the number of low-power devices in the next decades cal...
09/14/2019 ∙ by Morteza Varasteh, et al. ∙ 0 ∙ share

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

Nonlinear energy harvesters (EH) behave differently depending on the ran...
08/30/2019 ∙ by Morteza Varasteh, et al. ∙ 0 ∙ share

read it
"Machine LLRning": Learning to Softly Demodulate

Soft demodulation, or demapping, of received symbols back into their con...
07/02/2019 ∙ by Ori Shental, et al. ∙ 0 ∙ share

read it
Joint Learning of Geometric and Probabilistic Constellation Shaping

The choice of constellations largely affects the performance of communic...
06/18/2019 ∙ by Maximilian Stark, et al. ∙ 0 ∙ share

read it
Adaptive Neural Signal Detection for Massive MIMO

Symbol detection for Massive Multiple-Input Multiple-Output (MIMO) is a ...
06/11/2019 ∙ by Mehrdad Khani, et al. ∙ 0 ∙ share

read it
Transmitter Classification With Supervised Deep Learning

Hardware imperfections in RF transmitters introduce features that can be...
05/20/2019 ∙ by Cyrille Morin, et al. ∙ 0 ∙ share

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

Since the seminal paper by Marzetta from 2010, Massive MIMO has changed ...
04/06/2019 ∙ by Luca Sanguinetti, et al. ∙ 0 ∙ share

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

Future wireless networks are expected to constitute a distributed intell...
03/21/2019 ∙ by Marco Di Renzo, et al. ∙ 0 ∙ share

read it
Towards Hardware Implementation of Neural Network-based Communication Algorithms

There is a recent interest in neural network (NN)-based communication al...
02/19/2019 ∙ by Fayçal Ait Aoudia, et al. ∙ 0 ∙ share

read it
Massive MIMO is a Reality - What is Next? Five Promising Research Directions for Antenna Arrays

Massive MIMO (multiple-input multiple-output) is no longer a "wild" or "...
02/11/2019 ∙ by Emil Björnson, et al. ∙ 0 ∙ share

read it
Enabling FDD Massive MIMO through Deep Learning-based Channel Prediction

A major obstacle for widespread deployment of frequency division duplex ...
01/08/2019 ∙ by Maximilian Arnold, et al. ∙ 0 ∙ share

read it
Model-free Training of End-to-end Communication Systems

The idea of end-to-end learning of communication systems through neural ...
12/14/2018 ∙ by Fayçal Ait Aoudia, et al. ∙ 0 ∙ share

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

This paper considers the uplink of a distributed Massive MIMO network wh...
11/08/2018 ∙ by Luca Sanguinetti, et al. ∙ 0 ∙ share

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

This paper analyzes how the distortion created by hardware impairments i...
11/05/2018 ∙ by Emil Björnson, et al. ∙ 0 ∙ share

read it
Deep Reinforcement Learning Autoencoder with Noisy Feedback

End-to-end learning of communication systems enables joint optimization ...
10/12/2018 ∙ by Mathieu Goutay, et al. ∙ 0 ∙ share

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

We demonstrate that error correcting codes (ECCs) can be used to constru...
07/02/2018 ∙ by Stefan Schibisch, et al. ∙ 0 ∙ share

read it
Can Hardware Distortion Correlation be Neglected When Analyzing Uplink SE in Massive MIMO?

This paper analyzes how the distortion created by hardware impairments i...
05/21/2018 ∙ by Emil Björnson, et al. ∙ 0 ∙ share

read it
End-to-End Learning of Communications Systems Without a Channel Model

The idea of end-to-end learning of communications systems through neural...
04/06/2018 ∙ by Fayçal Ait Aoudia, et al. ∙ 0 ∙ share

read it
OFDM-Autoencoder for End-to-End Learning of Communications Systems

We extend the idea of end-to-end learning of communications systems thro...
03/15/2018 ∙ by Alexander Felix, et al. ∙ 0 ∙ share

read it
Deep Learning-Based Communication Over the Air

End-to-end learning of communications systems is a fascinating novel con...
07/11/2017 ∙ by Sebastian Dörner, et al. ∙ 0 ∙ share

read it

Jakob Hoydis

Featured Co-authors