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Frontiers of Information Technology & Electronic Engineering
ISSN 2095-9184 (print), ISSN 2095-9230 (online)
2024 Vol.25 No.12 P.1627-1650
XL-MIMO channel measurement, characterization, and modeling for 6G: a survey
Abstract: Extremely-large-scale multiple-input multiple-output (XL-MIMO) technology, offering vast spatial degrees of freedom by deploying a huge number of antennas, is a promising enabling technology to empower sixth-generation mobile networks (6G). The XL-MIMO channel model is a prerequisite of XL-MIMO technology optimization, system design, and performance evaluation. In this paper, we provide an overview of challenges and ongoing research in XL-MIMO channel measurement, characterization, and modeling. In particular, characterizing and modeling near-field effects and spatial non-stationarity (SnS) are discussed. Also, the channel modeling methods that can describe these new channel characteristics are surveyed. Furthermore, open issues in XL-MIMO channel measurement, characterization, and modeling are presented to give insights into future XL-MIMO channel research.
Key words: 6G; XL-MIMO; Near-field; Channel measurement; Channel modeling
1北京邮电大学电子工程学院,中国北京市,100876
2北京邮电大学信息与通信工程学院,中国北京市,100876
3中国移动研究院,中国北京市,100053
摘要:超大规模多入多出(XL-MIMO)通过部署大规模的天线获取更大空间自由度,是使能第六代移动通信网络(6G)的关键技术之一。XL-MIMO信道模型是XL-MIMO技术优化、系统设计和性能评估的先决条件。本文首先概述XL-MIMO信道研究在测量、表征和建模这三个方面遇到的挑战和最新进展。其中,讨论了近场空间非稳性的测量结果与表征方法。然后,综述了基于统计性、确定性和混合方法的XL-MIMO信道建模方法。最后,指出XL-MIMO信道研究在测量、表征与建模方面的研究方向。
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DOI:
10.1631/FITEE.2400140
CLC number:
TN929.5
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On-line Access:
2025-01-24
Received:
2024-03-01
Revision Accepted:
2025-01-24
Crosschecked:
2024-06-18