Non-Linear Analog Processing in MIMO Systems with Coarse Quantization
Marian Temprana Alonso, Xuyang Liu, Hamidreza Aghasi, Farhad Shirani

TL;DR
This paper explores the use of nonlinear analog operators before sampling in MIMO systems with coarse quantization to improve achievable rates and reduce power consumption, supported by circuit simulations and measurements.
Contribution
It introduces a novel receiver architecture combining nonlinear analog processing with few-bit ADCs, demonstrating potential rate improvements and power efficiency gains.
Findings
Nonlinear analog operators can mitigate rate loss in coarse quantization.
Proposed architectures show improved power efficiency in simulations.
Experimental results validate the practical feasibility of the approach.
Abstract
Analog to digital converters (ADCs) are a major contributor to the power consumption of multiple-input multiple-output (MIMO) receivers in large bandwidth millimeter-wave systems. Prior works have considered two mitigating solutions to reduce the ADC power consumption: i) decreasing the number of ADCs via analog and hybrid beamforming, and ii) decreasing the ADC resolution, i.e., utilizing one-bit and few-bit ADCs. These mitigating solutions lead to performance loss in terms of achievable rates due to increased quantization error. In this work, the use of nonlinear analog operators such as envelope detectors and polynomial operators, prior to sampling and quantization is considered, as a way to reduce the aforementioned rate-loss. The receiver architecture consists of linear combiners, nonlinear analog operators, and few-bit ADCs. The fundamental performance limits of the resulting…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRadio Frequency Integrated Circuit Design · Analog and Mixed-Signal Circuit Design · Microwave Engineering and Waveguides
