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  5. A Tutorial on Near-Field XL-MIMO Communications Towards 6G

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Preprint
English
2023

A Tutorial on Near-Field XL-MIMO Communications Towards 6G

0 Datasets

0 Files

English
2023
arXiv (Cornell University)
DOI: 10.48550/arxiv.2310.11044

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Rui Zhang
Rui Zhang

The Chinese University of Hong Kong

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Haiquan Lu
Yong Zeng
Changsheng You
+9 more

Abstract

Extremely large-scale multiple-input multiple-output (XL-MIMO) is a promising technology for the sixth-generation (6G) mobile communication networks. By significantly boosting the antenna number or size to at least an order of magnitude beyond current massive MIMO systems, XL-MIMO is expected to unprecedentedly enhance the spectral efficiency and spatial resolution for wireless communication. The evolution from massive MIMO to XL-MIMO is not simply an increase in the array size, but faces new design challenges, in terms of near-field channel modelling, performance analysis, channel estimation, and practical implementation. In this article, we give a comprehensive tutorial overview on near-field XL-MIMO communications, aiming to provide useful guidance for tackling the above challenges. First, the basic near-field modelling for XL-MIMO is established, by considering the new characteristics of non-uniform spherical wave (NUSW) and spatial non-stationarity. Next, based on the near-field modelling, the performance analysis of XL-MIMO is presented, including the near-field signal-to-noise ratio (SNR) scaling laws, beam focusing pattern, achievable rate, and degrees-of-freedom (DoF). Furthermore, various XL-MIMO design issues such as near-field beam codebook, beam training, channel estimation, and delay alignment modulation (DAM) transmission are elaborated. Finally, we point out promising directions to inspire future research on near-field XL-MIMO communications.

How to cite this publication

Haiquan Lu, Yong Zeng, Changsheng You, Yu Han, Jiayi Zhang, Zhe Wang, Zhenjun Dong, Shi Jin, Cheng‐Xiang Wang, Tao Jiang, Xiaohu You, Rui Zhang (2023). A Tutorial on Near-Field XL-MIMO Communications Towards 6G. arXiv (Cornell University), DOI: 10.48550/arxiv.2310.11044.

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Publication Details

Type

Preprint

Year

2023

Authors

12

Datasets

0

Total Files

0

Language

English

Journal

arXiv (Cornell University)

DOI

10.48550/arxiv.2310.11044

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