Experimental Verification of Null-Space Expansion for Multiuser Massive MIMO via Channel State Information Measurement

被引:8
|
作者
Iwakuni, Tatsuhiko [1 ,2 ]
Maruta, Kazuki [1 ]
Ohta, Atsushi [1 ]
Shirato, Yushi [1 ]
Iizuka, Masataka [1 ]
机构
[1] NTT Access Network Serv Syst Labs, Yokosuka, Kanagawa 2390847, Japan
[2] NTT Broadband Pratform Inc, Tokyo, Japan
关键词
massive MIMO; multiuser MIMO; null-space expansion; channel time variation; inter-user interference; WIRELESS; PREDICTION; SYSTEM;
D O I
10.1587/transcom.2017EBP3117
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper presents experimental results of our proposed null-space expansion scheme for multiuser massive multiple-input multiple-output (MIMO) in time varying channels. Multiuser MIMO transmission with the proposed scheme can suppress the inter-user interference (IUI) caused by outdated channel state information (CSI). The excess degrees of freedom (DoFs) of massive MIMO is exploited to perform additional null-steering using past estimated CSI. The signal-to-interference power ratio (SIR) and spectral efficiency performances achieved by the proposed scheme that uses measured CSI is experimentally evaluated. It is confirmed that the proposed scheme shows performance superior to the conventional channel prediction scheme. In addition, IUI can be stably suppressed even in high mobility environments by further increasing the null-space dimension.
引用
收藏
页码:877 / 884
页数:8
相关论文
共 50 条
  • [21] A Channel State Information Feedback Method for Massive MIMO-OFDM
    Kudo, Riichi
    Armour, Simon M. D.
    McGeehan, Joe P.
    Mizoguchi, Masato
    JOURNAL OF COMMUNICATIONS AND NETWORKS, 2013, 15 (04) : 352 - 361
  • [22] A Hybrid Channel State Information Feedback Mechanism for Massive MIMO system
    Gao, Qiubin
    Zhang, Fangchao
    Chen, Runhua
    Chen, Wenhong
    Li, Hui
    Tamrakar, Rakesh
    Sun, Shaohui
    2016 IEEE 83RD VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2016,
  • [23] Adaptive Compression of Massive MIMO Channel State Information With Deep Learning
    Mismar, Faris B.
    Kaya, Aliye Ozge
    IEEE Networking Letters, 2024, 6 (04): : 267 - 271
  • [24] On the channel tracking under uncertain state model for multiuser massive MIMO in high-rate Internet-of-Things
    Soltanizadeh, Hediyeh
    Falahati, Abolfazl
    PHYSICAL COMMUNICATION, 2021, 48
  • [25] Spectral Efficiency Maximization of Multiuser Massive MIMO Systems With Finite-Dimensional Channel via Control of Users' Power
    Saatlou, O.
    Ahmad, M. Omair
    Swamy, M. N. S.
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2018, 65 (07) : 883 - 887
  • [26] Performance Analysis of Secure Communication in Massive MIMO with Imperfect Channel State Information
    Yang, Tinghan
    Zhang, Rongqing
    Cheng, Xiang
    Yang, Liuqing
    2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
  • [27] A Meta Learner Autoencoder for Channel State Information Feedback in Massive MIMO Systems
    Tolba, Bassant
    Abd El-Malek, Ahmed H.
    Abo-Zahhad, Mohammed
    Elsabrouty, Maha
    2021 28TH INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS (ICT), 2021, : 31 - 35
  • [28] Understanding the Impact of Limited Channel State Information on Massive MIMO Network Performances
    Liu, Jia
    Eryilmaz, Atilla
    Shroff, Ness B.
    Bentley, Elizabeth S.
    MOBIHOC '16: PROCEEDINGS OF THE 17TH ACM INTERNATIONAL SYMPOSIUM ON MOBILE AD HOC NETWORKING AND COMPUTING, 2016, : 251 - 260
  • [29] Millimeter Wave Massive MIMO with Alamouti Code and Imperfect Channel State Information
    Alouzi, Mohamed
    Chan, Francois
    2018 IEEE 5G WORLD FORUM (5GWF), 2018, : 507 - 511
  • [30] Training Sequence Design for Channel State Information Acquisition in Massive MIMO Systems
    Zhao, Yang
    Wang, Xiangyang
    Gu, Xiaoteng
    Wan, Wangtao
    Pang, Qiao
    2015 IEEE 26TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2015, : 1712 - 1716