Wen, CK;
Wang, CJ;
Jin, S;
Wong, KK;
Ting, P;
(2016)
Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO With Low-Precision ADCs.
IEEE Transactions on Signal Processing
, 64
(10)
pp. 2541-2556.
10.1109/TSP.2015.2508786.
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Abstract
This paper considers a multiple-input multiple-output (MIMO) receiver with very low-precision analog-to-digital convertors (ADCs) with the goal of developing massive MIMO antenna systems that require minimal cost and power. Previous studies demonstrated that the training duration should be relatively long to obtain acceptable channel state information. To address this requirement, we adopt a joint channel-and-data (JCD) estimation method based on Bayes-optimal inference. This method yields minimal mean square errors with respect to the channels and payload data. We develop a Bayes-optimal JCD estimator using a recent technique based on approximate message passing. We then present an analytical framework to study the theoretical performance of the estimator in the large-system limit. Simulation results confirm our analytical results, which allow the efficient evaluation of the performance of quantized massive MIMO systems and provide insights into effective system design.
| Type: | Article |
|---|---|
| Title: | Bayes-Optimal Joint Channel-and-Data Estimation for Massive MIMO With Low-Precision ADCs |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/TSP.2015.2508786 |
| Publisher version: | http://dx.doi.org/10.1109/TSP.2015.2508786 |
| Language: | English |
| Additional information: | Copyright © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Keywords: | Bayes-optimal inference, joint channel-and-data estimation, low precision ADC, massive MIMO, replica method |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1503618 |
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