Beam Domain Channel Estimation for Spatial Non-Stationary Massive MIMO Systems

被引：0
作者：
Hou, Lin [1 ,2 ]
Chang, Hengtai [1 ,2 ]
Wang, Cheng-Xiang [1 ,2 ]
Huang, Jie [1 ,2 ]
Yang, Songjiang [2 ]
机构：
[1] Southeast Univ, Sch Informat Sci & Engn, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
[2] Purple Mt Labs, Nanjing 211111, Peoples R China
来源：
2024 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE, WCNC 2024 | 2024年
基金：
中国国家自然科学基金;
关键词：
massive MIMO; beam domain channel estimation; spatial non-stationary; power leakage; BDS-SAMP;
D O I：
10.1109/WCNC57260.2024.10571029
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In massive multiple-input multiple-output (MIMO) systems, the channel estimation scheme is subject to the spatial non-stationarity and inevitably power leakage in the beam domain. In this paper, a beam domain channel estimation scheme is investigated for spatial non-stationary (SNS) massive MIMO systems considering power leakage. Specifically, a realistic massive MIMO beam domain channel model (BDCM) is introduced to capture the spatial non-stationarity considering power leakage by introducing the illustration of visibility region (VR). Then, a beam domain structure-based sparsity adaptive matching pursuit (BDS-SAMP) scheme is proposed based on the cross-block sparse structure and power ratio threshold of beam domain channel. Finally, the simulation results validate the accuracy of proposed BDS-SAMP scheme with low pilot overhead and reasonable complexity by comparing with conventional schemes.
引用
收藏
页数：6
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