A 3D Non-Stationary Geometry-Based mmWave Channel Model for RIS-Assisted MIMO Communications

A three-dimensional non-stationary intelligent reflecting surface (RIS)-assisted multiple-input multiple-output (MIMO) channel model is proposed. The model takes into account both the movement of the scatterer in the propagation environment and the receiver. Three types of phase modulation for RIS are also considered, i.e., 1-bit, 2-bit and continuous quantization set, respectively. Based on the different phase modulation, we investigate the effect to the time-varying spatial cross-correlation function (CCF) and the time-varying temporal auto-correlation function (ACF). The numerical results provided verify the rationality and validity of the proposed model.

Authors

Institutions

Publication Details

Published
2024-10-23
DOI
https://doi.org/10.1109/isape62431.2024.10841274
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A 3D Non-Stationary Geometry-Based mmWave Channel Model for RIS-Assisted MIMO Communications

Xiongwen Zhao, Suiyan Geng, Xiaoqing Wang, Yunhe Xu et al.
Millimeter-Wave Propagation and Modeling
article

A 3D Non-Stationary Geometry-Based mmWave Channel Model for RIS-Assisted MIMO Communications

Xiongwen Zhao, Suiyan Geng, Xiaoqing Wang, Yunhe Xu, Fei Du, Miaozhi Huang
article en

Abstract

A three-dimensional non-stationary intelligent reflecting surface (RIS)-assisted multiple-input multiple-output (MIMO) channel model is proposed. The model takes into account both the movement of the scatterer in the propagation environment and the receiver. Three types of phase modulation for RIS are also considered, i.e., 1-bit, 2-bit and continuous quantization set, respectively. Based on the different phase modulation, we investigate the effect to the time-varying spatial cross-correlation function (CCF) and the time-varying temporal auto-correlation function (ACF). The numerical results provided verify the rationality and validity of the proposed model.

North China Electric Power University (CN)
Openalex Percentile: Top 76%
Millimeter-Wave Propagation and Modeling
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.