Approximation Algorithm Based Channel Estimation for Massive MIMO Antenna Array Systems

被引：5
|
作者：
Jiang, Hao [1 ,2 ]
Tang, Denghong [3 ]
Zhou, Jie [1 ,2 ]
Xi, Xiaoli [3 ]
Feng, Jiao [4 ]
Dang, Jian [5 ]
Wu, Liang [5 ]
机构：
[1] Nanjing Univ Informat Sci & Technol, Coll Artificial Intelligence, Nanjing 210044, Jiangsu, Peoples R China
[2] Nanjing Univ Informat Sci & Technol, Coll Elect & Informat Engn, Nanjing 210044, Jiangsu, Peoples R China
[3] Xian Univ Technol, Inst Adv Nav & Electromagnet, Xian 710048, Shaanxi, Peoples R China
[4] Nanjing Univ Informat Sci & Technol, Sch Elect & Informat Engn, Nanjing 210044, Jiangsu, Peoples R China
[5] Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Jiangsu, Peoples R China
来源：
IEEE ACCESS | 2019年 / 7卷
基金：
中国国家自然科学基金;
关键词：
Antenna arrays; Three-dimensional displays; Solid modeling; Correlation; Channel models; Massive MIMO antenna array; spatial fading correlation; power Azimuth spectrum; approximation algorithm; CONCENTRIC CIRCULAR ARRAYS; FADING CORRELATION; CORRELATION MODELS; PERFORMANCE;
D O I：
10.1109/ACCESS.2019.2947533
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a three-dimensional (3D) massive multiple-input and multiple-output (MIMO) antenna array model, which includes the spherical array assumption and geometric properties for future fifth generation (5G) wireless communications. A parametric approximation algorithm is developed for estimating the spatial fading correlations (SFCs) and channel capacities of the 3D massive MIMO antenna array systems under different power angular spectrum (PAS). The relationship between correlation with the spacing of antenna arrays and angular parameters was classified. The results show that the simulation values of the approximate method fit the theoretical calculation very well, thereby validating the feasibility of the proposed 3D large-scale massive MIMO model.
引用
收藏
页码：149364 / 149372
页数：9
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