# Performance Assessment of MIMO Precoding on Realistic mmWave Channels

## TL;DR

This paper evaluates the performance of various MIMO precoding techniques in realistic mmWave 5G channels, highlighting the effectiveness of Grid of Beams optimization in scenarios with directional propagation.

## Contribution

It provides a comprehensive performance assessment of multiple MIMO precoders in realistic mmWave channels using measurement-based and standardized models.

## Key findings

- GoB optimization approaches perform well in realistic directional channels
- Imperfect channel estimation impacts precoding performance
- Linear precoders like zero forcing show varying effectiveness

## Abstract

In this paper, the performance of multi-user Multiple-Input Multiple-Output (MIMO) systems is evaluated in terms of SINR and capacity. We focus on the case of a downlink single-cell scenario where different precoders have been studied. Among the considered precoders, we range from different Grid of Beams (GoB) optimization approaches to linear precoders (e.g., matched filtering and zero forcing). This performance evaluation includes imperfect channel estimation, and is carried out over two realistic mmWave 5G propagation channels, which are simulated following either the measurement campaign done by New York University (NYU) or the 3GPP channel model. Our evaluation allows grasping knowledge on the precoding performance in mmWave realistic scenarios. The results highlight the good performance of GoB optimization approaches when a realistic channel model with directionality is adopted.