Quantifying the Capacity Gains in Coarsely Quantized SISO Systems with Nonlinear Analog Operators
Farhad Shirani, Hamidreza Aghasi

TL;DR
This paper investigates how nonlinear analog operators can enhance the capacity of coarsely quantized SISO systems, balancing power efficiency and information throughput, supported by theoretical analysis and circuit simulations.
Contribution
It characterizes capacity gains in low-resolution ADC systems using nonlinear analog operators, providing theoretical, computational, and circuit-level insights.
Findings
Nonlinear operators can significantly improve channel capacity.
Capacity expressions are derived under various assumptions.
Circuit simulations demonstrate practical implementability.
Abstract
The power consumption of high-speed, high-resolution analog to digital converters (ADCs) is a limiting factor in implementing large-bandwidth mm-wave communication systems. A mitigating solution, which has drawn considerable recent interest, is to use a few low-resolution ADCs at the receiver. While reducing the number and resolution of the ADCs decreases power consumption, it also leads to a reduction in channel capacity due to the information loss induced by coarse quantization. This implies a rate-energy tradeoff governed by the number and resolution of ADCs. Recently, it was shown that given a fixed number of low-resolution ADCs, the application of practically implementable nonlinear analog operators, prior to sampling and quantization, may significantly reduce the aforementioned rate-loss. Building upon these observations, this work focuses on single-input single-output (SISO)…
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Taxonomy
TopicsAnalog and Mixed-Signal Circuit Design · Advancements in PLL and VCO Technologies · Radio Frequency Integrated Circuit Design
