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

• Published in: IEEE transactions on wireless communications Vol. 20; no. 5; pp. 3211 - 3224
• Main Authors: Bian, Ji, Wang, Cheng-Xiang, Gao, Xiqi, You, Xiaohu, Zhang, Minggao
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.05.2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 3D space-time-frequency non-stationary GBSM; 5G mobile communication; Frequencies; High speed rail; high-mobility; massive MIMO; Millimeter waves; mmWave-THz; multi-mobility communications; Stochastic models; Stochastic processes; Three-dimensional displays; Time-frequency analysis; Transmitters; Vehicular ad hoc networks; Wave fronts; Wireless communication
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2020.3047973

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.