A Novel 3D GBSM and BDCM for 6G mmWave Massive MIMO ISAC Systems

In this paper, a novel three-dimensional (3D) geometry-based stochastic model (GBSM) and a beam domain channel model (BDCM) for sixth-generation (6G) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) systems are proposed. The spherical wavefront and space-time-frequency non-stationarity introduced by massive MIMO, movements of the user and clusters, and large bandwidth of mmWave communications are incorporated. The shared clusters between the sensing channel and communication channel caused by the scattering characteristics are also considered. Based on the proposed channel model, important statistical properties are derived and simulated, including the space-time-frequency correlation function (STF-CF), root mean square (RMS) beam spread, RMS delay spread, RMS Doppler spread, coherence time, and channel capacity. By comparing the statistical properties of the sensing channel and the communication channel, it is found that the sensing channel exhibits more significant temporal non-stationarity. Moreover, the distribution of clusters for the sensing channel and communication channel shows significant difference, which is confirmed by the simulation results of RMS beam spread and RMS delay spread.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Wireless Communications
Published
2025-02-04
DOI
https://doi.org/10.1109/twc.2025.3535781
Citations
2
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
9.99

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel 3D GBSM and BDCM for 6G mmWave Massive MIMO ISAC Systems

Rui Feng, Runruo Yang, El‐Hadi M. Aggoune, Jie Huang et al.
2 citations
IEEE Transactions on Wireless Communications
Antenna Design and Analysis
9.99
article

A Novel 3D GBSM and BDCM for 6G mmWave Massive MIMO ISAC Systems

Rui Feng, Runruo Yang, El‐Hadi M. Aggoune, Jie Huang, Cheng‐Xiang Wang, Yunfei Chen
article en
2 citations

Abstract

In this paper, a novel three-dimensional (3D) geometry-based stochastic model (GBSM) and a beam domain channel model (BDCM) for sixth-generation (6G) millimeter wave (mmWave) massive multiple-input multiple-output (MIMO) integrated sensing and communication (ISAC) systems are proposed. The spherical wavefront and space-time-frequency non-stationarity introduced by massive MIMO, movements of the user and clusters, and large bandwidth of mmWave communications are incorporated. The shared clusters between the sensing channel and communication channel caused by the scattering characteristics are also considered. Based on the proposed channel model, important statistical properties are derived and simulated, including the space-time-frequency correlation function (STF-CF), root mean square (RMS) beam spread, RMS delay spread, RMS Doppler spread, coherence time, and channel capacity. By comparing the statistical properties of the sensing channel and the communication channel, it is found that the sensing channel exhibits more significant temporal non-stationarity. Moreover, the distribution of clusters for the sensing channel and communication channel shows significant difference, which is confirmed by the simulation results of RMS beam spread and RMS delay spread.

IEEE Transactions on Wireless CommunicationsVol. 24(5)
Durham University (GB), Purple Mountain Laboratories (CN), University of Tabuk (SA), Southeast University (CN)
University of Tabuk, National Institute of Advanced Industrial Science and Technology, National Natural Science Foundation of China, Southeast University, Fundamental Research Funds for the Central Universities, National Mobile Communications Research Laboratory, Southeast University
Openalex Percentile: Top 3%
Antenna Design and Analysis
9.99
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.