Approximation Algorithm Based Channel Estimation for Massive MIMO Antenna Array Systems

Hao Jiang; Denghong Tang; Jie Zhou; Xiaoli Xi; Jiao Feng; Jian Dang; Liang Wu

doi:10.1109/ACCESS.2019.2947533

IEEE Access (Jan 2019)

Approximation Algorithm Based Channel Estimation for Massive MIMO Antenna Array Systems

Hao Jiang,
Denghong Tang,
Jie Zhou,
Xiaoli Xi,
Jiao Feng,
Jian Dang,
Liang Wu

Affiliations

Hao Jiang: ORCiD; College of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China
Denghong Tang: ORCiD; Institute of Advanced Navigation and Electromagnetics, Xi’an University of Technology, Xi’an, China
Jie Zhou: College of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China
Xiaoli Xi: Institute of Advanced Navigation and Electromagnetics, Xi’an University of Technology, Xi’an, China
Jiao Feng: School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, China
Jian Dang: ORCiD; National Mobile Communications Research Laboratory, Southeast University, Nanjing, China
Liang Wu: ORCiD; National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

DOI: https://doi.org/10.1109/ACCESS.2019.2947533
Journal volume & issue: Vol. 7
pp. 149364 – 149372

Abstract

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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.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

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