Zero-Crossing Precoding With Maximum Distance to the Decision Threshold for Channels With 1-Bit Quantization and Oversampling

TL;DR

This paper introduces a novel zero-crossing waveform for 1-bit quantized, oversampled channels that improves bit error rate without needing optimization or dynamic codebooks, suitable for low-energy IoT systems.

Contribution

It proposes a new waveform method that conveys information through zero-crossings, eliminating the need for optimization and dynamic codebooks, outperforming existing methods.

Findings

Outperforms state-of-the-art in bit error rate

Does not require optimization or dynamic codebook

Effective for low-energy IoT systems

Abstract

Low-resolution devices are promising for systems that demand low energy consumption and low complexity as required in IoT systems. In this study, we propose a novel waveform for bandlimited channels with 1-bit quantization and oversampling at the receivers. The proposed method implies that the information is conveyed within the time instances of zero-crossings which is then utilized in combination with a Gray-coding scheme. Unlike the existing method, the proposed method does not require optimization and transmission of a dynamic codebook. The proposed approach outperforms the state-of-the-art method in terms of bit error rate.