An Energy Efficiency Perspective on Massive MIMO Quantization
Muris Sarajli\'c, Liang Liu, and Ove Edfors

TL;DR
This paper analyzes the energy efficiency of Massive MIMO systems with various ADC resolutions, finding that intermediate resolutions (4-10 bits) optimize energy efficiency, while very low resolutions degrade it.
Contribution
It provides a comprehensive parametric analysis of energy efficiency in Massive MIMO uplink systems across different ADC resolutions, highlighting optimal bit ranges.
Findings
Intermediate ADC resolutions (4-10 bits) are optimal for energy efficiency.
Very low ADC resolutions lead to decreased energy efficiency.
Energy efficiency varies significantly with system parameters.
Abstract
One of the basic aspects of Massive MIMO (MaMi) that is in the focus of current investigations is its potential of using low-cost and energy-efficient hardware. It is often claimed that MaMi will allow for using analog-to-digital converters (ADCs) with very low resolutions and that this will result in overall improvement of energy efficiency. In this contribution, we perform a parametric energy efficiency analysis of MaMi uplink for the entire base station receiver system with varying ADC resolutions. The analysis shows that, for a wide variety of system parameters, ADCs with intermediate bit resolutions (4 - 10 bits) are optimal in energy efficiency sense, and that using very low bit resolutions results in degradation of energy efficiency.
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Advanced Wireless Communication Techniques · Millimeter-Wave Propagation and Modeling
