Uplink Performance of Wideband Massive MIMO With One-Bit ADCs

By Christopher Mollén, Junil Choi, Erik G. Larsson, Robert W. Heath. IEEE Transactions on Wireless Communications, 2016

348 citations recorded by the source corpus.

Analog-to-digital converters (ADCs) stand for a significant part of the total power consumption in a massive multiple-input multiple-output (MIMO) base station. One-bit ADCs are one way to reduce power consumption. This paper presents an analysis of the spectral efficiency of single-carrier and orthogonal-frequency-division-multiplexing (OFDM) transmission in massive MIMO systems that use one-bit ADCs. A closed-form achievable rate, i.e., a lower bound on capacity, is derived for a wideband system with a large number of channel taps that employ low-complexity linear channel estimation and symbol detection. Quantization results in two types of error in the symbol detection. The circularly symmetric error becomes Gaussian in massive MIMO and vanishes as the number of antennas grows. The amplitude distortion, which severely degrades the performance of OFDM, is caused by variations between symbol durations in received interference energy. As the number of channel taps grows, the amplitude distortion vanishes and OFDM has the same performance as single-carrier transmission. A main conclusion of this paper is that wideband massive MIMO systems work well with one-bit ADCs.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/5eb79940a18fea7f443652b5e22722f16b4bf2db

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Citations in the corpus

One-Bit OFDM Receivers via Deep Learning (2018, background): “wherein the matrix A makes yp and dp uncorrelated to reduce the quantization noise [16], [20].”
Channel Estimation in Broadband Millimeter Wave MIMO Systems With Few-Bit ADCs (2016, methodology): “Another approach is obtained by linearizing the quantizer and applying LMMSE [47], [48].”
Quantized Precoding for Massive MU-MIMO (2016, result): “Similar conclusions were made in [25] for the frequency-selective case.”
Channel Estimation and Performance Analysis of One-Bit Massive MIMO Systems (2016, methodology): “Note that, in contrast to the model of [28], in which the quantizer noise can still be correlated with the desired signal since the same Bussgang decomposition is employed for different channel realizations, the Bussgang decomposition in (35) is employed for each individual channel realization.”
Throughput Analysis of Massive MIMO Uplink With Low-Resolution ADCs (2016, methodology): “A capacity lower bound for wideband channels and 1-bit ADCs has been recently reported in [33].”