318 citations · 482 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
Channel Estimation in Massive MIMO Systems
David Neumann, Michael Joham, Wolfgang Utschick
We introduce novel blind and semi-blind channel estimation methods for cellular time-division duplexing systems with a large number of antennas at each base station. The methods ar…