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arXiv · 1711.09309

BER Performance Analysis of Coarse Quantized Uplink Massive MIMO

Azad Azizzadeh·Reza Mohammadkhani·Seyed Vahab Al-Din Makki·Emil Björnson
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Abstract

Having lower quantization resolution, has been introduced in the literature, as a solution to reduce the power consumption of massive MIMO and millimeter wave MIMO systems. In this paper, we analyze bit error rate (BER) performance of quantized uplink massive MIMO employing a few-bit resolution ADCs. Considering Zero-Forcing (ZF) detection, we derive a closed-form quantized signal-to-interference-plus-noise ratio (SINR) to achieve an analytical BER approximation for coarse quantized M-QAM massive MIMO systems, by using a linear quantization model. The proposed expression is a function of quantization resolution in bits. We further numerically investigate the effects of different quantization levels, from 1-bit to 4-bits, on the BER of three modulation types of QPSK, 16-QAM, and 64-QAM. Uniform and non-uniform quantizers are employed in our simulation. Monte Carlo simulation results reveal that our approximate formula gives a tight upper bound for the BER performance of $b$-bit resolution quantized systems using non-uniform quantizers, whereas the use of uniform quantizers cause a lower performance for the same systems. We also found a small BER performance degradation in coarse quantized systems, for example 2-3 bits QPSK and 3-4 bits 16-QAM, compared to the full-precision (unquantized) case. However, this performance degradation can be compensated by increasing the number of antennas at the BS.

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BibTeXRIS

Azad Azizzadeh, Reza Mohammadkhani, Seyed Vahab Al-Din Makki, Emil Björnson. 2017-11-25. BER Performance Analysis of Coarse Quantized Uplink Massive MIMO. https://arxiv.org/abs/1711.09309

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