A 3D Geometry-based Stochastic Model for 5G Massive MIMO Channels

Abstract

Abstract-Massive MIMO is one of the most promising technologies for the fifth generation (5G) mobile communication systems. In order to better assess the system performance, it is essential to build a corresponding channel model accurately. In this paper, a three-dimension (3D) two-cylinder regular-shaped geometry-based stochastic model (GBSM) for non-isotropic scattering massive MIMO channels is proposed. Based on geometric method, all the scatters are distributed on the surface of a cylinder as equivalent scatters. Non-stationary property is that one antenna has its own visible area of scatters by using a virtual sphere. The proposed channel model is evaluated by comparing with the 3GPP 3D channel model [1]. The statistical properties are investigated. Simulation results show that close agreements are achieved between the characteristics of the proposed channel model and those of the 3GPP channel model, which justify the correctness of the proposed model. The model has advantages such as good applicability.

A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges

“…The mmWave massive MIMO channel model is different from the conventional channel model in the following ways. Firstly, the non-stationary property is observed mainly in the antenna array of massive MIMO [197], which implies that different antenna elements can see different scatters, and the closer the two antennas are set, the more common scatterers they share [208], [209]. In that case, the conventional MIMO channel model cannot be extended straightforwardly to massive MIMO channel models, due to the non-stationary property of clusters on both the array and time axes.…”

“…In that case, the conventional MIMO channel model cannot be extended straightforwardly to massive MIMO channel models, due to the non-stationary property of clusters on both the array and time axes. Hence, a model that can be consistent with the general conventional MIMO standards, is required [208]. Secondly, the mmWave massive MIMO channel model can be realized more realistically in a three-dimension (3D) space [210].…”

“…Thus, both are employed to determine channel statistics and spherical wavefront. In [208], a two-cylinder GBSM model in a 3D space is proposed to characterize the non-stationarity of massive MIMO channels rather than using a 2D visibility region of the antenna array or a birth-death process. Specifically, in [208], a 3D twocylinder regular-shaped GBSM, for non-isotropic scattering massive MIMO channels, is introduced.…”

“…In [208], a two-cylinder GBSM model in a 3D space is proposed to characterize the non-stationarity of massive MIMO channels rather than using a 2D visibility region of the antenna array or a birth-death process. Specifically, in [208], a 3D twocylinder regular-shaped GBSM, for non-isotropic scattering massive MIMO channels, is introduced. The 3D MIMO nonstationary GBSM was modeled mainly by allocating a 3D visible area for each antenna (to establish its own set of scatters), determined using a virtual sphere centered at each radiating antenna element.…”

Stochastic channel models for massive and extreme large multiple‐input multiple‐output systems

“…The 3D GBSMs are structure as planar, cylindrical, and spherical capable of creating beams controlled by two angles, azimuth and elevation 9 . Most of the channel model described for the MIMO system considers 2D models, however, for applications on M‐MIMO systems, the 3D models are better candidates due to the large number of antennas that M‐MIMO proposes 28 . Based on Reference 25, a planar structure, known as UPA, will be analyzed with the one‐ring model and the Gaussian local scattering model.…”