8th International Conference on Communications and Networking in China

Research Article

Correlation and capacity evaluation for dual polarized MIMO system based on an extended 3-D geometry-based stochastic channel model

  • @INPROCEEDINGS{10.1109/ChinaCom.2013.6694597,
        author={Mengshi Li and Yisha Lou and Pu Zhao and Hui Yu and Xiaohua Tian},
        title={Correlation and capacity evaluation for dual polarized MIMO system based on an extended 3-D geometry-based stochastic channel model},
        proceedings={8th International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2013},
        month={11},
        keywords={3d scattering dual polarization gscm corre-lation capacity kronecker model},
        doi={10.1109/ChinaCom.2013.6694597}
    }
    
  • Mengshi Li
    Yisha Lou
    Pu Zhao
    Hui Yu
    Xiaohua Tian
    Year: 2013
    Correlation and capacity evaluation for dual polarized MIMO system based on an extended 3-D geometry-based stochastic channel model
    CHINACOM
    IEEE
    DOI: 10.1109/ChinaCom.2013.6694597
Mengshi Li1, Yisha Lou1, Pu Zhao1, Hui Yu1,*, Xiaohua Tian1
  • 1: Department of Electronic Engineering, Shanghai Jiao Tong University
*Contact email: yuhui@sjtu.edu.cn

Abstract

In this paper, we first implement a full space MIMO simulation channel model based on the previous contributions in the methodology of extending the 2D geometry-based stochastic channel model (GSCM) to 3D conditions. Dual polarized anten-nas with a directional field pattern are considered, which are more general than the single polarization and omnidirectional pattern. We then derive the closed-form formula for channel correlation coefficients based on the GSCM methodology. We have also assessed the capacity performance and found that though the ergodic capacity can be significantly improved by considering the 3D scattering, the effectiveness largely depends on the degree of elevation angle spread. Lastly, we evaluate the validation of Kronecker model in capacity performance aspect and find it a promising candidate to enable explicit system analysis/design and to reduce the time consumption of system level simulation.