Low-Complexity Symbol-Level Precoding for MU-MISO Downlink Systems with QAM Signals

TL;DR

This paper introduces a low-complexity symbol-level precoding method for large-scale MU-MISO downlink systems using 1-bit DACs and QAM signals, addressing error floors and improving detection performance.

Contribution

It presents a novel feasibility condition and an optimization-based algorithm for 1-bit precoding, enhancing robustness and reducing complexity in large-scale antenna systems.

Findings

Outperforms existing methods in detection accuracy

Reduces computational complexity significantly

Effectively mitigates error floor issues

Abstract

This study proposes the construction of a transmit signal for large-scale antenna systems with cost-effective 1-bit digital-to-analog converters in the downlink. Under quadrature-amplitude-modulation constellations, it is still an open problem to overcome a severe error floor problem caused by its nature property. To this end, we first present a feasibility condition which guarantees that each user's noiseless signal is placed in the desired decision region. For robustness to additive noise, we formulate an optimization problem, we then transform the feasibility conditions to cascaded matrix form. We propose a low-complexity algorithm to generate a 1-bit transmit signal based on the proposed optimization problem formulated as a well-defined mixed-integer-linear-programming. Numerical results validate the superiority of the proposed method in terms of detection performance and computational complexity.