# Large Intelligent Surface for Positioning in Millimeter Wave MIMO Systems

arXiv: https://arxiv.org/abs/1910.00060 · HTML: https://mlsanity.com/paper/1910.00060/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 30 Sep 2019.

## Built on by (most cited first, 4 of 4)

- [Federated Distributionally Robust Optimization for Phase Configuration of RISs](https://mlsanity.com/paper/2108.09026/) (2021)
- [Channel Estimation and Hybrid Architectures for RIS-Assisted Communications](https://mlsanity.com/paper/2104.07115/) (2021)
- [Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations](https://mlsanity.com/paper/2105.01771/) (2021)
- [Autoregressive Attention Neural Networks for Non-Line-of-Sight User Tracking with Dynamic Metasurface Antennas](https://mlsanity.com/paper/2310.19767/) (2023)

## Abstract (arXiv)

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.