A 3D Non-Stationary Channel Model for 6G Wireless Systems Employing Intelligent Reflecting Surface

TL;DR

This paper introduces a comprehensive 3D non-stationary channel model for 6G systems with IRS, capturing mobility, cluster evolution, and IRS effects, validated through statistical analysis and simulations.

Contribution

It presents a novel 3D geometry-based stochastic model for IRS-assisted 6G MIMO systems, including cluster dynamics and IRS reflection effects.

Findings

Model accurately captures non-stationary channel properties.

Simulation results match analytical predictions.

Supports mobility and cluster evolution in 6G channels.

Abstract

As one of the key technologies for the sixth generation (6G) mobile communications, intelligent reflecting surface IRS) has the advantages of low power consumption, low cost, and simple design methods. But channel modeling is still an open issue in this field currently. In this paper, we propose a three-dimensional (3D) geometry based stochastic model (GBSM) for a massive multiple-input multiple-output (MIMO) communication system employing IRS. The model supports the movements of the transmitter, the receiver, and clusters. The evolution of clusters on the linear array and planar array is also considered in the proposed model. In addition, the generation of reflecting coefficient is incorporated into the model and the path loss of the sub-channel assisted by IRS is also proposed. The steering vector is set up at the base station for the cooperation with IRS. Through studying statistical properties such as the temporal autocorrelation function and space correlation function, the nonstationary properties are verified. The good agreement between the simulation results and the analytical results illustrates the correctness of the proposed channel model.