Study of SIC and RLS Channel Estimation for Large-Scale Antenna Systems with 1-Bit ADCs

TL;DR

This paper introduces a low-resolution-aware recursive least squares algorithm for channel estimation in large-scale MIMO systems with 1-bit ADCs, effectively mitigating quantization distortions and multi-user interference to improve performance.

Contribution

It presents a novel adaptive channel estimation method and interference canceler tailored for systems with 1-bit ADCs, addressing energy efficiency and performance challenges.

Findings

Effective mitigation of quantization distortion

Improved mean square error performance

Enhanced bit error rate results

Abstract

We propose a novel low-resolution-aware recursive least squares channel estimation algorithm for uplink multi-user multiple-input multiple-output systems. In order to reduce the energy consumption, 1-bit ADCs are used on each receive antenna. The loss of performance can be recovered by the large-scale antenna arrays at the receiver. The proposed adaptive channel estimator can mitigate the distortions due to the coarse quantization. Moreover, we propose a low-resolution-aware minimum mean square error based successive interference canceler to successively mitigate the multiuser interference. Simulation results show good performance of the system in terms of mean square error and bit error rate.