Performance Analysis of Massive MIMO Multi-Way Relay Networks with Low-Resolution ADCs
Samira Rahimian, Yindi Jing, Masoud Ardakani

TL;DR
This paper analyzes the impact of low-resolution ADCs on the performance of massive MIMO multi-way relay networks, providing closed-form rate approximations and quantifying the effects of quantization and channel estimation errors.
Contribution
It introduces a novel analytical method for rate analysis in mixed-ADC massive MIMO relay systems using SVD and Haar matrix properties, accounting for imperfect CSI.
Findings
Achievable rate approximations are derived for various ADC resolutions.
Performance degradation due to low-resolution ADCs is quantified.
Rate performance is nearly linear with the square of quantization coefficients.
Abstract
High power consumption and hardware cost are two barriers for practical massive multiple-input multiple-output (mMIMO) systems. A promising solution is to employ low-resolution analog-to-digital converters (ADCs). In this paper, we consider a general mMIMO multi-way relaying system with a multi-level mixed-ADC architecture, in which each antenna is connected to an ADC pair of an arbitrary resolution. By leveraging on Bussgang's decomposition theorem and Lloyd-Max algorithm for quantization, tight closed-form approximations are derived for the average achievable rates of zero-forcing (ZF) relaying considering both perfect and imperfect channel state information (CSI). To conquer the challenges caused by multi-way relaying, the complicated ZF beam-forming matrix, and the general mixed-ADC structure, we develop a novel method for the achievable rate analysis using the singular-value…
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