A General 3D Non-Stationary Wireless Channel Model for 5G and Beyond

TL;DR

This paper introduces a comprehensive 3D non-stationary stochastic channel model for 5G and beyond, capturing diverse propagation characteristics across multiple scenarios and frequency bands, validated against measurement data.

Contribution

It presents a novel, versatile 3D non-stationary channel model applicable to various 5G and B5G scenarios, integrating multiple channel features into a unified framework.

Findings

Model captures space-time-frequency non-stationarity

Matches well with measurement data

Applicable to multiple scenarios and frequency bands

Abstract

In this paper, a novel three-dimensional (3D) non-stationary geometry-based stochastic model (GBSM) for the fifth generation (5G) and beyond 5G (B5G) systems is proposed. The proposed B5G channel model (B5GCM) is designed to capture various channel characteristics in (B)5G systems such as space-time-frequency (STF) non-stationarity, spherical wavefront (SWF), high delay resolution, time-variant velocities and directions of motion of the transmitter, receiver, and scatterers, spatial consistency, etc. By combining different channel properties into a general channel model framework, the proposed B5GCM is able to be applied to multiple frequency bands and multiple scenarios, including massive multiple-input multiple-output (MIMO), vehicle-to-vehicle (V2V), high-speed train (HST), and millimeter wave-terahertz (mmWave-THz) communication scenarios. Key statistics of the proposed B5GCM are obtained and compared with those of standard 5G channel models and corresponding measurement data, showing the generalization and usefulness of the proposed model.