Research Article
A 3D Geometry-based Stochastic Model for 5G Massive MIMO Channels
@INPROCEEDINGS{10.4108/eai.19-8-2015.2259755, author={Yi Xie and Bo Li and Xiaoya Zuo and Mao Yang and Zhongjiang Yan}, title={A 3D Geometry-based Stochastic Model for 5G Massive MIMO Channels}, proceedings={11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness}, publisher={EAI}, proceedings_a={QSHINE}, year={2015}, month={9}, keywords={5g massive mimo 3d gbsm two-cylinder channel model non-stationary}, doi={10.4108/eai.19-8-2015.2259755} }- Yi Xie
Bo Li
Xiaoya Zuo
Mao Yang
Zhongjiang Yan
Year: 2015
A 3D Geometry-based Stochastic Model for 5G Massive MIMO Channels
QSHINE
IEEE
DOI: 10.4108/eai.19-8-2015.2259755
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.
