A General 3D Non-Stationary Massive MIMO GBSM for 6G Communication Systems

TL;DR

This paper introduces a comprehensive 3D non-stationary massive MIMO GBSM for 6G, capturing diverse channel features and providing statistical analysis validated by simulations and measurements.

Contribution

The paper presents a novel 3D non-stationary massive MIMO GBSM that models various complex channel characteristics for 6G systems.

Findings

Model covers space-time-frequency non-stationarity

Derives key statistical properties of the channel

Simulation results align with measurement data

Abstract

A general three-dimensional (3D) non-stationary massive multiple-input multiple-output (MIMO) geometry-based stochastic model (GBSM) for the sixth generation (6G) communication systems is proposed in the paper. The novelty of the model is that the model is designed to cover a variety of channel characteristics, including space-time-frequency (STF) non-stationarity, spherical wavefront, spatial consistency, channel hardening, etc. Firstly, the introduction of the twin-cluster channel model is given in detail. Secondly, the key statistical properties such as space-time-frequency correlation function (STFCF), space cross-correlation function (CCF), temporal autocorrelation function (ACF), frequency correlation function (FCF), and performance indicators, e.g., singular value spread (SVS), and channel capacity are derived. Finally, the simulation results are given and consistent with some measurements in relevant literatures, which validate that the proposed channel model has a certain value as a reference to model massive MIMO channel characteristics.