Spectral Efficient Communications employing 1-Bit Quantization and Oversampling at the Receiver

TL;DR

This paper explores the use of 1-bit quantization with oversampling in multigigabit communication systems, demonstrating how a BCJR algorithm and optimized symbol sources can improve error rates under noise.

Contribution

It introduces a BCJR-based decoding approach for 1-bit quantized oversampled channels and shows how tailored symbol sources enhance performance.

Findings

BCJR algorithm effectively reconstructs higher-order symbols

Optimized symbol sources improve error rate performance

System viability confirmed under Gaussian noise and pulse shaping filters

Abstract

To relax power consumption requirements in multigigabit/s communications systems low resolution quantization can be used. Information-theoretic results have shown that systems employing 1-bit quantization and oversampling are a viable option for this. This work investigates such a structure under the influence of additive Gaussian noise and two matched pulse shaping filters. It is described how a BCJR algorithm, based on a finite-state channel assumption, can be used to reconstruct symbols of higher order modulation schemes that allow the transmission of more than one bit per symbol. Furthermore, it is shown how symbol sources that are fitted to the 1-bit constraint can significantly improve the error rate performance of the system.