The Performance Of Box-Relaxation Decoding In Massive MIMO With Low-Resolution ADCS

Christos Thrampoulidis; Weiyu Xu

doi:10.1109/SSP.2018.8450800

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Conference proceeding

The Performance Of Box-Relaxation Decoding In Massive MIMO With Low-Resolution ADCS

Christos Thrampoulidis and Weiyu Xu

2018 IEEE Statistical Signal Processing Workshop (SSP), pp.821-825

06/2018

DOI: 10.1109/SSP.2018.8450800

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Abstract

We study massive multiple-input-multiple-output (MIMO) uplink systems with low-resolution analog-to-digital converters (ADCs) on each receiver antenna. For the decoding, we propose an efficient convex program, namely the boxrelaxation optimization (BRO), for which we further characterize its asymptotic bit-error rate (BER) under Gaussian channel and noise models. The derived formula is an explicit function of the ratio of receive to transmit antennas, of the SNR, and of the specifics of the quantization scheme. Hence, it can be used for tuning of these parameters such that the desired BER specifications are met. We further show the superiority of the BRO compared to standard linear detectors such as the zero-forcing (ZF) decoder. Numerical simulations corroborate our theoretical results.

Bit error rate

Decoding

MIMO communication

Quantization (signal)

Receivers

Signal to noise ratio

Standards

Details

Title: Subtitle: The Performance Of Box-Relaxation Decoding In Massive MIMO With Low-Resolution ADCS
Creators: Christos Thrampoulidis - Massachusetts Institute of Technology
Weiyu Xu - University of Iowa
Resource Type: Conference proceeding
Publication Details: 2018 IEEE Statistical Signal Processing Workshop (SSP), pp.821-825
DOI: 10.1109/SSP.2018.8450800
Publisher: IEEE
Language: English
Date published: 06/2018
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197917002771

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