Channel Estimation and Uplink Achievable Rates in One-Bit Massive MIMO Systems

TL;DR

This paper analyzes uplink channel estimation and achievable rates in massive MIMO systems with one-bit ADCs, proposing a linear estimator and deriving rate bounds, validated through numerical simulations.

Contribution

It introduces a simple LMMSE channel estimator for one-bit massive MIMO and derives a closed-form lower bound for achievable uplink rates.

Findings

The proposed LMMSE estimator outperforms the near maximum likelihood estimator.

Derived a closed-form lower bound for the achievable rate with MRC receiver.

Numerical results confirm the accuracy of the analytical expressions.

Abstract

This paper considers channel estimation and achievable rates for the uplink of a massive multiple-input multiple-output (MIMO) system where the base station is equipped with one-bit analog-to-digital converters (ADCs). By rewriting the nonlinear one-bit quantization using a linear expression, we first derive a simple and insightful expression for the linear minimum mean-square-error (LMMSE) channel estimator. Then employing this channel estimator, we derive a closed-form expression for the lower bound of the achievable rate for the maximum ratio combiner (MRC) receiver. Numerical results are presented to verify our analysis and show that our proposed LMMSE channel estimator outperforms the near maximum likelihood (nML) estimator proposed previously.