# Fast Channel Estimation for IRS-Assisted OFDM

arXiv: https://arxiv.org/abs/2008.04476 · HTML: https://mlsanity.com/paper/2008.04476/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Aug 2020.

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

- [WiNeRF: Measurement Constrained Radiance Fields for Actionable Wireless Channel Modeling](https://mlsanity.com/paper/2609.22132/) (2026)

## Abstract (arXiv)

In this letter, we study efficient channel estimation for an intelligent reflecting surface (IRS)-assisted orthogonal frequency division multiplexing (OFDM) system to achieve minimum training time. First, a fast channel estimation scheme with reduced OFDM symbol duration is proposed for arbitrary frequency-selective fading channels. Next, under the typical condition that the IRS-user channel is line-of-sight (LoS) dominant, another fast channel estimation scheme based on the novel concept of sampling-wise IRS reflection variation is proposed. Moreover, the pilot signal and IRS training reflection pattern are jointly optimized for both proposed schemes. Finally, the proposed schemes are compared in terms of training time and channel estimation performance via simulations, as well as against benchmark schemes.