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

被引:0
|
作者
Lu H. [1 ]
Zeng Y. [1 ]
You C. [2 ]
Han Y. [1 ]
Zhang J. [3 ]
Wang Z. [3 ]
Dong Z. [1 ]
Jin S. [1 ]
Wang C. [1 ]
Jiang T. [4 ]
You X. [1 ]
Zhang R. [5 ]
机构
[1] National Mobile Communications Research Laboratory, Southeast University, Nanjing
[2] Department of Electronic and Electrical Engineering, Southern University of Science and Technology (SUSTech), Shenzhen
[3] School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing
[4] School of Cyber Science and Engineering, Research Center of6G Mobile Communications, Huazhong University of Science and Technology, Wuhan
[5] Shenzhen Research Institute of Big Data, School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen
来源
基金
中国国家自然科学基金;
关键词
beam focusing pattern; Extremely large-scale MIMO; near-field beam training; near-field codebook; near-field inter-user interference; near-field modeling; near-field SNR scaling law; non-uniform spherical wave; spatial non-stationarity;
D O I
10.1109/COMST.2024.3387749
中图分类号
学科分类号
摘要
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 modeling, 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 modeling 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 modeling, 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. IEEE
引用
收藏
页码:1 / 1
相关论文
共 50 条
  • [31] Double-XL-IRS Aided Near-Field Communications
    Yao, Liujia
    Huang, Zixuan
    You, Changsheng
    [J]. 2024 IEEE INTERNATIONAL WORKSHOP ON RADIO FREQUENCY AND ANTENNA TECHNOLOGIES, IWRF&AT 2024, 2024, : 358 - 363
  • [32] Towards Integrated Sensing and Communications for 6G
    Wang, Qi
    Kakkavas, Anastasios
    Gong, Xitao
    Stirling-Gallacher, Richard A.
    [J]. 2022 2ND IEEE INTERNATIONAL SYMPOSIUM ON JOINT COMMUNICATIONS & SENSING (JC&S), 2022,
  • [33] Dynamic MIMO Architecture Design for Near-Field Communications
    Zhang, Zheng
    Liu, Yuanwei
    Wang, Zhaolin
    Chen, Jian
    Quek, Tony Q.S.
    [J]. IEEE Transactions on Wireless Communications, 2024, 23 (10) : 14669 - 14684
  • [34] Beam Focusing for Near-Field Multiuser MIMO Communications
    Zhang, Haiyang
    Shlezinger, Nir
    Guidi, Francesco
    Dardari, Davide
    Imani, Mohammadreza F.
    Eldar, Yonina C.
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2022, 21 (09) : 7476 - 7490
  • [35] Near-Field Channel Modeling for Holographic Mimo Communications
    Gong, Tierui
    Wei, Li
    Huang, Chongwen
    Alexandropoulos, George C.
    Debbah, Merouane
    Yuen, Chau
    [J]. IEEE WIRELESS COMMUNICATIONS, 2024, 31 (03) : 108 - 116
  • [36] Multiband plasmonic MIMO antenna array for 6G communications
    Thiruppathi, Pandiselvi
    Balasubrahmaniam, Lakshmi Dhevi
    Manoharan, Karthik Govindan
    Balasubramanian, Aarthi Alias Ananthakirupa
    [J]. OPTICAL AND QUANTUM ELECTRONICS, 2024, 56 (06)
  • [37] Technology Trends for Massive MIMO towards 6G
    Huo, Yiming
    Lin, Xingqin
    Di, Boya
    Zhang, Hongliang
    Hernando, Francisco Javier Lorca
    Tan, Ahmet Serdar
    Mumtaz, Shahid
    Demir, Ozlem Tugfe
    Chen-Hu, Kun
    [J]. SENSORS, 2023, 23 (13)
  • [38] AI Models for Green Communications Towards 6G
    Mao, Bomin
    Tang, Fengxiao
    Kawamoto, Yuichi
    Kato, Nei
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2022, 24 (01): : 210 - 247
  • [39] Near and Far Field Model Mismatch: Implications on 6G Communications, Localization, and Sensing
    Elzanaty, Ahmed
    Liu, Jiuyu
    Guerra, Anna
    Guidi, Francesco
    Ma, Yi
    Tafazolli, Rahim
    [J]. IEEE Internet of Things Magazine, 2024, 7 (05): : 120 - 126
  • [40] Optimal beam-focusing design for 6G near-field SWIPT systems
    Song, Nan
    Dai, Haibo
    [J]. IEICE COMMUNICATIONS EXPRESS, 2024, 13 (03): : 84 - 87