One-Bit Massive MIMO: Channel Estimation and High-Order Modulations

TL;DR

This paper analyzes the capacity and throughput of massive MIMO systems with one-bit ADCs, demonstrating that simple estimation and combining techniques can achieve high performance despite severe quantization.

Contribution

It introduces a capacity analysis for one-bit massive MIMO systems and shows that LS channel estimation with joint processing supports multiuser and high-order modulation.

Findings

LS channel estimation is capacity achieving in single-user case

Maximum-ratio combining supports multiuser operation

High-order modulations are feasible with one-bit ADCs

Abstract

We investigate the information-theoretic throughout achievable on a fading communication link when the receiver is equipped with one-bit analog-to-digital converters (ADCs). The analysis is conducted for the setting where neither the transmitter nor the receiver have a priori information on the realization of the fading channels. This means that channel-state information needs to be acquired at the receiver on the basis of the one-bit quantized channel outputs. We show that least-squares (LS) channel estimation combined with joint pilot and data processing is capacity achieving in the single-user, single-receive-antenna case. We also investigate the achievable uplink throughput in a massive multiple-input multiple-output system where each element of the antenna array at the receiver base-station feeds a one-bit ADC. We show that LS channel estimation and maximum-ratio combining are sufficient to support both multiuser operation and the use of high-order constellations. This holds in spite of the severe nonlinearity introduced by the one-bit ADCs.