Large Intelligent Surface for Positioning in Millimeter Wave MIMO Systems

TL;DR

This paper explores the use of large intelligent surfaces (LIS) in millimeter-wave MIMO systems to enhance positioning accuracy, analyzing theoretical bounds and the impact of system parameters.

Contribution

It introduces the concept of LIS for mmWave positioning, studies its theoretical performance bounds, and evaluates how system parameters affect accuracy.

Findings

LIS improves positioning accuracy over conventional schemes.

Theoretical bounds show potential for enhanced performance.

Numerical results confirm benefits of increased LIS elements.

Abstract

Millimeter-wave (mmWave) multiple-input multiple-output (MIMO) system for the fifth generation (5G) cellular communications can also enable single-anchor positioning and object tracking due to its large bandwidth and inherently high angular resolution. In this paper, we introduce the newly invented concept, large intelligent surface (LIS), to mmWave positioning systems, study the theoretical performance bounds (i.e., Cram\'er-Rao lower bounds) for positioning, and evaluate the impact of the number of LIS elements and the value of phase shifters on the position estimation accuracy compared to the conventional scheme with one direct link and one non-line-of-sight path. It is verified that better performance can be achieved with a LIS from the theoretical analyses and numerical study.