On MSE based receiver design for massive MIMO

David Neumann, Michael Joham, Wolfgang Utschick

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationSCC 2017 - 11th International ITG Conference on Systems, Communications and Coding
PublisherVDE VERLAG GMBH
ISBN (Electronic)9783800743629
StatePublished - 2019
Event11th International ITG Conference on Systems, Communications and Coding, SCC 2017 - Hamburg, Germany
Duration: 6 Feb 20179 Feb 2017

Publication series

NameSCC 2017 - 11th International ITG Conference on Systems, Communications and Coding

Conference

Conference11th International ITG Conference on Systems, Communications and Coding, SCC 2017
Country/TerritoryGermany
CityHamburg
Period6/02/179/02/17

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