Full-Duplex Massive MIMO Cellular Networks with Low Resolution ADC/DAC
Elyes Balti, Brian L. Evans

TL;DR
This paper develops an analytical framework for full-duplex massive MIMO cellular networks using low-resolution ADCs/DACs, analyzing spectral efficiency, interference, and quantization effects.
Contribution
It introduces new derivations of SQINR and spectral efficiency for FD massive MIMO with low-resolution converters, including asymptotic and power scaling laws.
Findings
Quantifies impact of quantization error on spectral efficiency.
Derives SQINR expressions for general and special cases.
Analyzes interference effects in hexagonal and PPP cell models.
Abstract
In this paper, we provide an analytical framework for full-duplex (FD) massive multiple-input multiple-output (MIMO) cellular networks with low resolution analog-to-digital and digital-to-analog converters (ADCs and DACs). Matched filters are employed at the FD base stations (BSs) at the transmit and receive sides. For both reverse and forward links, our contributions are (1) derivations of the signal-to-quantization-plus-interference-and-noise ratio (SQINR) for general and special cases; (2) derivations of spectral efficiency for asymptotic cases as well as for power scaling laws; and (3) quantifying effects of quantization error, loopback self-interference, and inter-user interference for hexagonal cells and Poisson Point Process (PPP) tessellations on outage probability and spectral efficiency.
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Taxonomy
TopicsFull-Duplex Wireless Communications · Advanced MIMO Systems Optimization
