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 2017Show all

6 papers · 1 filter

math.OC2017★ 18 cited

The Hybrid Transmission Grid Architecture: Benefits in Nodal Pricing

Matthias Hotz, Wolfgang Utschick

Recently, we proposed a capacity expansion approach for transmission grids that combines the upgrade of transmission capacity with a transition in system structure to improve grid…

cs.IT2017★ 25 cited

A Bilinear Equalizer for Massive MIMO Systems

David Neumann, Thomas Wiese, Michael Joham +1

We present a novel approach for low-complexity equalizer design well-suited for cellular massive MIMO systems. Our design allows to exploit the channel structure in terms of covari…

math.OC2017

Reducing the Need for New Lines in Germany's Energy Transition: The Hybrid Transmission Grid Architecture

Matthias Hotz, Irina Boiarchuk, Dominic Hewes +2

The energy transition will lead to an imbalance in electric power generation and demand along the north-south axis of Germany. To manage this imbalance, the transmission system ope…

cs.IT2017★ 318 cited

Learning the MMSE Channel Estimator

David Neumann, Thomas Wiese, Wolfgang Utschick

We present a method for estimating conditionally Gaussian random vectors with random covariance matrices, which uses techniques from the field of machine learning. Such models are…

cs.IT2017★ 2 cited

Hybrid LISA Precoding for Multiuser Millimeter-Wave Communications

Wolfgang Utschick, Christoph Stöckle, Michael Joham +1

Millimeter-wave (mmWave) communications plays an important role for future cellular networks because of the vast amount of spectrum available in the underutilized mmWave frequency…

cs.IT2017★ 106 cited

Covariance Matrix Estimation in Massive MIMO

David Neumann, Michael Joham, Wolfgang Utschick

Interference during the uplink training phase significantly deteriorates the performance of a massive MIMO system. The impact of the interference can be reduced by exploiting secon…