Power Angular Spectrum and Spatial Covariance Estimation for Wideband mmWave RIS Channels

Date

2024-01-01

Author

Ozen, Hakan
Güvensen, Gökhan Muzaffer

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

26
views

0
downloads

Cite This

In this study, we propose a method for estimating cascaded channel covariance matrices (C-CCMs) for millimeterwave (mmWave) reconfigurable intelligent surface (RIS)-aided massive multiple-input multiple-output (MIMO) systems. Our approach utilizes a generic ray tracing channel model, wherein each multipath cluster (MPC) comprises several rays scattered randomly around a mean angle, following a specific probability density function (pdf). Initially, we estimate the mean angles of arrival (AoAs) at the base station (BS). Subsequently, we introduce a subspace-aware (SA) orthogonal matching pursuit (OMP) algorithm to estimate mean cascaded angles-delays-Doppler shifts. These estimated parameters are then used to construct subspace basis matrices, from which initial CCM estimates are derived. We further refine the initial CCM estimates by fitting pdfs to their eigenvalues. The effectiveness of our proposed methods is demonstrated through root mean square error (RMSE), normalized mean square error (NMSE), and power angular spectrum (PAS) metrics.

Subject Keywords

amplitude-phase coupling, angular spread, Cascaded CCM estimation, OMP, RIS

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85216026145&origin=inward
https://hdl.handle.net/11511/113956

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar