TY - GEN
T1 - On MSE based receiver design for massive MIMO
AU - Neumann, David
AU - Joham, Michael
AU - Utschick, Wolfgang
N1 - Publisher Copyright:
© VDE Verlag GMBH. Berlin. Offenback. All rights reserved.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85084023744&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85084023744
T3 - SCC 2017 - 11th International ITG Conference on Systems, Communications and Coding
BT - SCC 2017 - 11th International ITG Conference on Systems, Communications and Coding
PB - VDE VERLAG GMBH
T2 - 11th International ITG Conference on Systems, Communications and Coding, SCC 2017
Y2 - 6 February 2017 through 9 February 2017
ER -