activity
20142024
most citedLearning the MMSE Channel Estimator

318 citations · 1k across the 84 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.IT2019★ 5 cited

Two-User SIMO Interference Channel with TIN: Improper Signaling versus Time-Sharing

Christoph Hellings, Ferhad Askerbeyli, Wolfgang Utschick

In the two-user Gaussian interference channel with Gaussian inputs and treating interference as noise (TIN), improper complex signals can be beneficial if time-sharing is not allow…

cs.IT2019★ 2 cited

Reproducible Evaluation of Neural Network Based Channel Estimators And Predictors Using A Generic Dataset

Nurettin Turan, Wolfgang Utschick

A low-complexity neural network based approach for channel estimation was proposed recently, where assumptions on the channel model were incorporated into the design procedure of t…

cs.IT2019

Learning The MMSE Channel Predictor

Nurettin Turan, Wolfgang Utschick

We present a neural network based predictor which is derived by starting from the linear minimum mean squared error (LMMSE) predictor and by further making two key assumptions. Wit…

cs.IT2019

Maximizing the Partial Decode-and-Forward Rate in the Gaussian MIMO Relay Channel

Christoph Hellings, Patrick Gest, Thomas Wiegart +1

It is known that circularly symmetric Gaussian signals are the optimal input signals for the partial decode-and-forward (PDF) coding scheme in the Gaussian multiple-input multiple-…

eess.SP2019★ 18 cited

Model Order Selection in DoA Scenarios via Cross-Entropy based Machine Learning Techniques

Andreas Barthelme, Reinhard Wiesmayr, Wolfgang Utschick

In this paper, we present a machine learning approach for estimating the number of incident wavefronts in a direction of arrival scenario. In contrast to previous works, a multilay…

cs.IT2019★ 27 cited

Mixed Monotonic Programming for Fast Global Optimization

Bho Matthiesen, Christoph Hellings, Eduard A. Jorswieck +1

While globally optimal solutions to many convex programs can be computed efficiently in polynomial time, this is, in general, not possible for nonconvex optimization problems. Ther…

math.OC2019★ 3 cited

Feature- and Structure-Preserving Network Reduction for Large-Scale Transmission Grids

Julia Sistermanns, Matthias Hotz, Dominic Hewes +2

Many countries are currently challenged with the extensive integration of renewable energy sources, which necessitates vast capacity expansion measures. These measures in turn requ…