@inproceedings{aa3f1a6e6a6d4ec7a4e4c5e9083181d6,
title = "Channel Estimation for RIS-Aided Millimeter-Wave Massive MIMO Systems: (Invited Paper)",
abstract = "Reconfigurable intelligent surface (RIS) is a vision of reconstructing the electromagnetic propagation environment by adjusting the phases of the reflection elements on the RIS. However, a challenge of the channel estimation in the RIS-aided massive wireless communication systems is the huge pilot overhead. To tackle this problem, each cascaded channel path is divided into the angle information and the channel gain information by exploring the sparsity proporty of the mmWave channel. We first estimate the cosine of the AoA at the BS and the AoD at the RIS for each cascaded path. After obtaining the angle information, the channel gain information is then estimated by adopting the least square method with reduced pilot overhead in the subsequent channel correlation blocks. Simulation results show that the performance of the proposed method outperforms the existing methods. ",
keywords = "AoA/AoD estimation, channel estimation, Intelligent reflecting surface (IRS), massive MIMO, Millimeter wave, reconfigurable intelligent surface (RIS)",
author = "Gui Zhou and Cunhua Pan and Hong Ren and Kezhi Wang",
year = "2021",
doi = "10.1109/IEEECONF53345.2021.9723140",
language = "English",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "IEEE",
pages = "698--703",
editor = "Matthews, {Michael B.}",
booktitle = "55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021",
address = "United States",
note = "55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 ; Conference date: 31-10-2021 Through 03-11-2021",
}