Novel 3D MIMO Channel Model with MATLAB Implementation

This paper focuses on 3D MIMO spatial domain channel modeling research based on multivariate statistical methods. In this study, we extend 2D MIMO channel modeling to three-dimensional spatial domain channel modeling and establish a novel 3D MIMO channel model utilizing the statistical properties of MIMO channels. The MATLAB implementation involves key algorithms including: 1) Statistical characteristic extraction using covariance matrix calculations across elevation and azimuth dimensions, 2) 3D spatial correlation modeling through Kronecker product operations, and 3) Channel coefficient generation via complex Gaussian random variable synthesis. To validate the model's performance, we conducted corresponding simulation experiments in MATLAB environment. Through these experiments, we derived a series of conclusions regarding channel model performance, including but not limited to: model stability analysis through eigenvalue decomposition, data transmission rate evaluation using capacity calculations, and error rate performance assessment via BER simulations. These research findings provide significant references and guidance for the development of MIMO technology, particularly in implementing realistic 3D channel models for performance evaluation.