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In this paper, we analyze both the rate of convergence and the performance ofa matched-filter (MF) precoder in a massive multi-user (MU)multiple-input-multiple-output (MIMO) system, with the aim of determining theimpact of distributing the transmit antennas into multiple clusters. Weconsider cases of transmit spatial correlation, unequal link gains andimperfect channel state information (CSI). Furthermore, we derive a MFsignal-to-interference-plus-noise-ratio (SINR) limit as both the number oftransmit antennas and the number of users tend to infinity. In our results, weshow that both the rate of convergence and performance is strongly dependent onspatial correlation. In the presence of spatial correlation, distributing theantennas into multiple clusters renders significant gains over a co-locatedantenna array scenario. In uncorrelated scenarios, a co-located antenna clusterhas a marginally better mean per-user SINR performance due to its superiorsingle-user signal-to-noise-ratio (SNR) regime, i.e., when a user is close tothe base station (BS), the links between the user and all transmit antennasbecomes strong.

On the Convergence and Performance of MF Precoding in Distributed Massive MU-MIMO Systems