# IRS-Assisted Active Device Detection

arXiv: https://arxiv.org/abs/2105.04149 · HTML: https://mlsanity.com/paper/2105.04149/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 May 2021.

## Built on by (most cited first, 1 of 1)

- [DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving](https://mlsanity.com/paper/2506.17590/) (2025)

## Abstract (arXiv)

This paper studies intelligent reflecting surface (IRS) assisted active device detection. Since the locations of the devices are a priori unknown, optimal IRS beam alignment is not possible and a worst-case design for a given coverage area is developed. To this end, we propose a generalized likelihood ratio test (GLRT) detection scheme and an IRS phase-shift design that minimizes the worst-case probability of misdetection. In addition to the proposed optimization-based phase-shift design, we consider two alternative suboptimal designs based on closed-form expressions for the IRS phase shifts. Our performance analysis establishes the superiority of the optimization-based design, especially for large coverage areas. Furthermore, we investigate the impact of scatterers on the proposed line-of-sight based design using simulations.