Distributed Spatially Non-Stationary Channel Estimation for Extremely-Large Antenna Systems

被引：0
作者：
Xu Y. [1 ]
Wang S. [2 ]
Jiang R. [3 ]
Wang Z. [4 ]
机构：
[1] School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen
[2] Information Systems Technology and Design, Singapore University of Technology and Design
[3] State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing
[4] School of Integrated Circuits, Tsinghua University, Beijing
来源：
EAI Endorsed Transactions on Industrial Networks and Intelligent Systems | 2024年 / 11卷 / 03期
基金：
中国国家自然科学基金;
关键词：
Channel estimation; extremely large aperture array; spatially non-stationary channel;
D O I：
10.4108/eetinis.v11i3.5992
中图分类号：
学科分类号：
摘要：
The purpose of this paper is to develop a distributed channel estimation (CE) algorithm for spatially non-stationary (SNS) channels in extremely large aperture array systems, addressing the issues of high communication cost and computational complexity associated with traditional centralized algorithms. However, SNS channels differ from conventional spatially stationary channels, presenting new challenges such as varying sparsity patterns for different antennas. To overcome these challenges, we propose a novel distributed CE algorithm accompanied by a simple-yet-effective hard thresholding scheme. The proposed algorithm is not only suitable for uniform antenna arrays but also for irregularly deployed antennas. Simulation results demonstrate the advantages of the the proposed algorithm in terms of estimation accuracy, communication cost and computational complexity. © (2024) Xu et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NCSA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
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页码：1 / 8
页数：7
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