Study of Constrained Precoding with Zero-Crossing Modulation for Channels with 1-Bit Quantization and Oversampling

TL;DR

This paper proposes a novel precoding technique for multiuser MIMO systems with 1-bit quantization and oversampling, optimizing zero-crossing modulation to improve performance under quality of service constraints.

Contribution

It introduces a new precoding method based on symbol error probability constraints for systems with 1-bit quantization and oversampling, addressing a key challenge in low-energy wireless receivers.

Findings

The proposed precoding improves symbol error rates compared to existing methods.

Numerical results demonstrate robustness across different system parameters.

The method effectively manages the trade-off between energy efficiency and communication reliability.

Abstract

Future wireless communications systems are expected to operate at bands above 100GHz. The high energy consumption of analog-to-digital converters, due to their high resolution represents a bottleneck for future wireless communications systems which require low-energy consumption and low-complexity devices at the receiver. In this work, we derive a novel precoding method based on quality of service constraints for a multiuser multiple-input multiple-output downlink system with 1-bit quantization and oversampling. For this scenario, the time-instance zero-crossing modulation which conveys the information into the zero-crossings is considered. Unlike prior studies, the constraint is given regarding the symbol error probability related to the minimum distance to the decision threshold. Numerical results illustrate the performance of the proposed precoding method evaluated under different parameters