Channel Estimation for RIS-Aided Millimeter-Wave Massive MIMO Systems: (Invited Paper)

Gui Zhou, Cunhua Pan, Hong Ren, Kezhi Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publication55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
EditorsMichael B. Matthews
PublisherIEEE
Pages698-703
Number of pages6
ISBN (Electronic)9781665458283
DOIs
Publication statusPublished - 2021
Event55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 - Virtual, Pacific Grove, United States
Duration: 31 Oct 20213 Nov 2021

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2021-October
ISSN (Print)1058-6393

Conference

Conference55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
Country/TerritoryUnited States
CityVirtual, Pacific Grove
Period31/10/213/11/21

Fingerprint

Dive into the research topics of 'Channel Estimation for RIS-Aided Millimeter-Wave Massive MIMO Systems: (Invited Paper)'. Together they form a unique fingerprint.

Cite this