Generalized bussgang LMMSE channel estimator for one-bit massive MIMO systems

Qian Wan, Jun Fang, Zhi Chen, Hongbin Li

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

We consider the problem of channel estimation for uplink massive multiple-input multiple-output systems, where one-bit analog-to-digital converters (ADCs) are used at the base station (BS) to quantize the received signal. In this paper, we study the problem of one-bit quantizer design when a Bussgang linear minimum mean square error (BLMMSE) estimator is used for channel estimation. We first extend the conventional Bussgang LMMSE estimator cite{LiTao17} to the general nonzero threshold case. We then analyze the estimation performance of the generalized Bussgang LMMSE estimator and investigate the design of quantization thresholds. A gradient descent scheme is developed to search for optimal quantization thresholds. Simulation results show that, with carefully devised quantization thresholds, the generalized Bussgang LMMSE estimator can achieve a substantial performance improvement over the conventional Bussgang LMMSE estimator.

Original languageEnglish
Article number9013505
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
DOIs
StatePublished - 2019
Event2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States
Duration: 9 Dec 201913 Dec 2019

Keywords

  • Channel estimation
  • Massive MIMO
  • One-bit quantization design

Fingerprint

Dive into the research topics of 'Generalized bussgang LMMSE channel estimator for one-bit massive MIMO systems'. Together they form a unique fingerprint.

Cite this