# Minimum BER Precoding in 1-Bit Massive MIMO Systems

## TL;DR

This paper introduces a novel precoding method for 1-bit massive MIMO systems that optimizes transmit signals to reduce interference and distortions, significantly improving bit-error rates compared to existing linear techniques.

## Contribution

A new precoding approach using a look-up table for 1-bit massive MIMO systems that adapts to channel conditions and enhances performance.

## Key findings

- Significant BER improvement over linear precoding methods
- Effective mitigation of inter-user interference and channel distortions
- Adaptive LUT-based precoding tailored to each channel realization

## Abstract

1-bit digital-to-analog (DACs) and analog-to-digital converters (ADCs) are gaining more interest in massive MIMO systems for economical and computational efficiency. We present a new precoding technique to mitigate the inter-user-interference (IUI) and the channel distortions in a 1-bit downlink MUMISO system with QPSK symbols. The transmit signal vector is optimized taking into account the 1-bit quantization. We develop a sort of mapping based on a look-up table (LUT) between the input signal and the transmit signal. The LUT is updated for each channel realization. Simulation results show a significant gain in terms of the uncoded bit-error-ratio (BER) compared to the existing linear precoding techniques.