On MSE Based Receiver Design for Massive MIMO
Konferenz: SCC 2017 - 11th International ITG Conference on Systems, Communications and Coding
06.02.2017 - 09.02.2017 in Hamburg, Germany
Tagungsband: SCC 2017
Seiten: 6Sprache: EnglischTyp: PDFPersönliche VDE-Mitglieder erhalten auf diesen Artikel 10% Rabatt
Neumann, David; Joham, Michael; Utschick, Wolfgang (Associate Institute for Signal Processing, Technische Universität München, 80290 Munich, Germany)
We investigate the design of receive filters in the uplink of a massive MIMO system based on the mean square error criterion. We show that the linear minimum mean square error filter is asymptotically optimal for a growing number of antennas as long as the channel covariance matrices to different mobile users are linearly independent. Additionally, we propose a low-complexity filter approach which we also show to be asymptotically optimal. Finally, we introduce a method to calculate an approximate minimum mean square error receiver in the semi-blind case based on variational Bayesian inference. We analyze the complexity of the three approaches and demonstrate the performance differences with numerical simulations.