Energy Efficient ADC Bit Allocation and Hybrid Combining for Millimeter Wave MIMO Systems

TL;DR

This paper proposes a joint optimization method for ADC resolution and hybrid combining in millimeter wave MIMO systems, significantly improving energy efficiency over fixed-resolution approaches.

Contribution

It introduces a novel hybrid combiner decomposition and an efficient optimization algorithm for joint ADC resolution and hybrid combining design.

Findings

Achieves higher energy efficiency compared to benchmark methods.

Effectively approximates fully digital combiners with hybrid structures.

Demonstrates the benefits of variable ADC resolution in MIMO systems.

Abstract

Low resolution analog-to-digital converters (ADCs) can be employed to improve the energy efficiency (EE) of a wireless receiver since the power consumption of each ADC is exponentially related to its sampling resolution and the hardware complexity. In this paper, we aim to jointly optimize the sampling resolution, i.e., the number of ADC bits, and analog/digital hybrid combiner matrices which provides highly energy efficient solutions for millimeter wave multiple-input multiple output systems. A novel decomposition of the hybrid combiner to three parts is introduced: the analog combiner matrix, the bit resolution matrix and the baseband combiner matrix. The unknown matrices are computed as the solution to a matrix factorization problem where the optimal, fully digital combiner is approximated by the product of these matrices. An efficient solution based on the alternating direction method of multipliers is proposed to solve this problem. The simulation results show that the proposed solution achieves high EE performance when compared with existing benchmark techniques that use fixed ADC resolutions.