Single-User mmWave Massive MIMO: SVD-based ADC Bit Allocation and Combiner Design

TL;DR

This paper introduces a SVD-based, computationally efficient ADC bit allocation method for single-user mmWave massive MIMO receivers, optimizing performance close to the theoretical CRLB.

Contribution

It proposes a novel, simple, and efficient bit allocation algorithm based on SVD and CRLB minimization, improving over existing methods in complexity and performance.

Findings

Performance close to full search bit allocation

Order of magnitude reduction in computational complexity

Approaches the CRLB in MSE performance

Abstract

In this paper, we propose a Singular-Value-Decomposition-based variable-resolution Analog to Digital Converter (ADC) bit allocation design for a single-user Millimeter wave massive Multiple-Input Multiple-Output receiver. We derive the optimality condition for bit allocation under a power constraint. This condition ensures optimal receiver performance in the Mean Squared Error (MSE) sense. We derive the MSE expression and show that it approaches the Cramer-Rao Lower Bound (CRLB). The CRLB is seen to be a function of the analog combiner, the digital combiner, and the bit allocation matrix. We attempt to minimize the CRLB with respect to the bit allocation matrix by making suitable assumptions regarding the structure of the combiners. In doing so, the bit allocation design reduces to a set of simple inequalities consisting of ADC bits, channel singular values and covariance of the quantization noise along each RF path. This results in a simple and computationally efficient bit allocation algorithm. Using simulations, we show that the MSE performance of our proposed bit allocation is very close to that of the Full Search (FS) bit allocation. We also show that the computational complexity of our proposed method has an order of magnitude improvement compared to FS and Genetic Algorithm based bit allocation of $\cite{Zakir1}$